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You searched for +publisher:"Texas A&M University" +contributor:("Dougherty, Edward"). Showing records 1 – 30 of 53 total matches.

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Texas A&M University

1. Petrik, Kathryn Rose. A Fallibilistic Approach to Education Policy.

Degree: MA, Philosophy, 2016, Texas A&M University

 Drawing on classical and contemporary sources in the philosophy of science and education, I argue that a robust understanding of fallibilism is absent from current… (more)

Subjects/Keywords: education; policy; fallibilism; science; best practice

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APA (6th Edition):

Petrik, K. R. (2016). A Fallibilistic Approach to Education Policy. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156937

Chicago Manual of Style (16th Edition):

Petrik, Kathryn Rose. “A Fallibilistic Approach to Education Policy.” 2016. Masters Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/156937.

MLA Handbook (7th Edition):

Petrik, Kathryn Rose. “A Fallibilistic Approach to Education Policy.” 2016. Web. 25 Feb 2020.

Vancouver:

Petrik KR. A Fallibilistic Approach to Education Policy. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/156937.

Council of Science Editors:

Petrik KR. A Fallibilistic Approach to Education Policy. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156937


Texas A&M University

2. Chaudhary, Nayan. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.

Degree: MS, Materials Science and Engineering, 2016, Texas A&M University

 The Material Genome Initiative (MGI) calls for establishing frameworks and adopting methodologies to accelerate materials discovery and deployment. The Integrated Computational Materials Engineering (ICME) approach… (more)

Subjects/Keywords: Stacking Fault Energy; Austenitic Steels; Machine Learning, Materials Informatics

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APA (6th Edition):

Chaudhary, N. (2016). A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174258

Chicago Manual of Style (16th Edition):

Chaudhary, Nayan. “A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.” 2016. Masters Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/174258.

MLA Handbook (7th Edition):

Chaudhary, Nayan. “A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.” 2016. Web. 25 Feb 2020.

Vancouver:

Chaudhary N. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/174258.

Council of Science Editors:

Chaudhary N. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174258


Texas A&M University

3. Zhao, Chen. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.

Degree: 2012, Texas A&M University

 To effectively understand and treat complex diseases such as cancer, mathematical and statistical modeling is essential if one wants to represent and characterize the interactions… (more)

Subjects/Keywords: pathway regulation; drug response dynamics; master/slave gene

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APA (6th Edition):

Zhao, C. (2012). Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Chen. “Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Chen. “Stochastic Modeling and Analysis of Pathway Regulation and Dynamics.” 2012. Web. 25 Feb 2020.

Vancouver:

Zhao C. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao C. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10749

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

4. Layek, Ritwik. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.

Degree: 2012, Texas A&M University

 The area of systems biology evolved in an attempt to introduce mathematical systems theory principles in biology. Although we believe that all biological processes are… (more)

Subjects/Keywords: Systems Biology; Boolean Network; Probabilistic Boolean Network; Markov Chain; State transition diagram; Dynamic Programming; Therapeutic Intervention; Karnaugh Map; Signal Transduction Pathways; Regulatory Networks; DNA damage pathways; P53; Cancer; Cell Cycle; Growth Factor Mediated Pathways; Targeted Therapy; Combination Drug; Genetic Mutation; Stuck-at Faults; Fault Detection; Fault Classification

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APA (6th Edition):

Layek, R. (2012). Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Layek, Ritwik. “Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Layek, Ritwik. “Pathways, Networks and Therapy: A Boolean Approach to Systems Biology.” 2012. Web. 25 Feb 2020.

Vancouver:

Layek R. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Layek R. Pathways, Networks and Therapy: A Boolean Approach to Systems Biology. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10829

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

5. Sun, Youting. Model-based Biomarker Detection and Systematic Analysis in Translational Science.

Degree: 2012, Texas A&M University

 This dissertation is concerned with the application of mathematical modeling and statistical signal processing into the rapidly expanding fields of proteomics and genomics. The research… (more)

Subjects/Keywords: Mathematical modeling; biomarker detection; genetic and proteomic signal processing

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APA (6th Edition):

Sun, Y. (2012). Model-based Biomarker Detection and Systematic Analysis in Translational Science. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sun, Youting. “Model-based Biomarker Detection and Systematic Analysis in Translational Science.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sun, Youting. “Model-based Biomarker Detection and Systematic Analysis in Translational Science.” 2012. Web. 25 Feb 2020.

Vancouver:

Sun Y. Model-based Biomarker Detection and Systematic Analysis in Translational Science. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun Y. Model-based Biomarker Detection and Systematic Analysis in Translational Science. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10914

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

6. Agyepong, Kwadwo. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.

Degree: 2012, Texas A&M University

 Thus far, a plethora of analysis on genome-wide gene expression microarray experiments on the cell cycle have been reported. Time series data from these experiments… (more)

Subjects/Keywords: Microarray; Cell Cycle; Time Series; Lomb-Scargle; Capon; MAPES; RIAA; LSPR

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APA (6th Edition):

Agyepong, K. (2012). Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Agyepong, Kwadwo. “Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes.” 2012. Web. 25 Feb 2020.

Vancouver:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agyepong K. Comparative Performance Analysis of the Algorithms for Detecting Periodically Expressed Genes. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-10815

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

7. Faryabi, Babak. Systems Medicine: An Integrated Approach with Decision Making Perspective.

Degree: 2010, Texas A&M University

 Two models are proposed to describe interactions among genes, transcription factors, and signaling cascades involved in regulating a cellular sub-system. These models fall within the… (more)

Subjects/Keywords: Regulatory Networks; Markov Decision Processes; Computational Biology

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APA (6th Edition):

Faryabi, B. (2010). Systems Medicine: An Integrated Approach with Decision Making Perspective. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Faryabi, Babak. “Systems Medicine: An Integrated Approach with Decision Making Perspective.” 2010. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Faryabi, Babak. “Systems Medicine: An Integrated Approach with Decision Making Perspective.” 2010. Web. 25 Feb 2020.

Vancouver:

Faryabi B. Systems Medicine: An Integrated Approach with Decision Making Perspective. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Faryabi B. Systems Medicine: An Integrated Approach with Decision Making Perspective. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-2940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

8. Hsu, Fang-Han. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.

Degree: 2013, Texas A&M University

 The advances of high-throughput technologies, such as next-generation sequencing and microarrays, have rapidly improved the accessibility of molecular pro?les in tumor samples. However, due to… (more)

Subjects/Keywords: copy number alterations; gene expression; queueing theory; Bayesian network; drug effectiveness

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APA (6th Edition):

Hsu, F. (2013). Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsu, Fang-Han. “Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/149298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsu, Fang-Han. “Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application.” 2013. Web. 25 Feb 2020.

Vancouver:

Hsu F. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/149298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsu F. Copy Number and Gene Expression: Stochastic Modeling and Therapeutic Application. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

9. Shahrokh Esfahani, Mohammad. Using Prior Knowledge in the Design of Classifiers.

Degree: 2014, Texas A&M University

 Small samples are commonplace in genomic/proteomic classification, the result being inadequate classifier design and poor error estimation. A promising approach to alleviate the problem is… (more)

Subjects/Keywords: Prior Knowledge; Classifier Design; Regularization; Prior Probability Construction; Bayesian; Bayesian Classification

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APA (6th Edition):

Shahrokh Esfahani, M. (2014). Using Prior Knowledge in the Design of Classifiers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shahrokh Esfahani, Mohammad. “Using Prior Knowledge in the Design of Classifiers.” 2014. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/152567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shahrokh Esfahani, Mohammad. “Using Prior Knowledge in the Design of Classifiers.” 2014. Web. 25 Feb 2020.

Vancouver:

Shahrokh Esfahani M. Using Prior Knowledge in the Design of Classifiers. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/152567.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shahrokh Esfahani M. Using Prior Knowledge in the Design of Classifiers. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152567

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

10. Vakulabaranam Sridharan, Sriram. Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks.

Degree: 2015, Texas A&M University

 The aim of effective cancer treatment is to prolong the patients? life while offering a reasonable quality of life during and after treatment. The treatments… (more)

Subjects/Keywords: gene regulatory networks; pathways; intervention; fault detection; bayesian

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APA (6th Edition):

Vakulabaranam Sridharan, S. (2015). Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vakulabaranam Sridharan, Sriram. “Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks.” 2015. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/154977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vakulabaranam Sridharan, Sriram. “Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks.” 2015. Web. 25 Feb 2020.

Vancouver:

Vakulabaranam Sridharan S. Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/154977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vakulabaranam Sridharan S. Biological Pathways Based Approaches to Model and Control Gene Regulatory Networks. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/154977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

11. Honarmandi, Pejman. Materials Design Under Bayesian Uncertainty Quantification.

Degree: PhD, Materials Science and Engineering, 2019, Texas A&M University

 Uncertainty quantification and its propagation across multi-scale model/experiment chains are key elements of decision-based materials design in the framework of Integrated Computational Materials Engineering. In… (more)

Subjects/Keywords: Markov Chain Monte Carlo; Uncertainty Quantification; Uncertainty Propagation; Information Fusion; Sensitivity Analysis

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APA (6th Edition):

Honarmandi, P. (2019). Materials Design Under Bayesian Uncertainty Quantification. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/186138

Chicago Manual of Style (16th Edition):

Honarmandi, Pejman. “Materials Design Under Bayesian Uncertainty Quantification.” 2019. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/186138.

MLA Handbook (7th Edition):

Honarmandi, Pejman. “Materials Design Under Bayesian Uncertainty Quantification.” 2019. Web. 25 Feb 2020.

Vancouver:

Honarmandi P. Materials Design Under Bayesian Uncertainty Quantification. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/186138.

Council of Science Editors:

Honarmandi P. Materials Design Under Bayesian Uncertainty Quantification. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/186138


Texas A&M University

12. Kim, Mansuck. Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions.

Degree: 2016, Texas A&M University

 Fusarium verticillioides is one of the key pathogens for stalk rot and ear rot on maize. While several genes associated with F. verticillioides pathogenicity and… (more)

Subjects/Keywords: RNA-seq; Fusarium verticillioides; Network-Based; Host-Pathogen; Subnetwork Modules; Key Pathogenicity Genes

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APA (6th Edition):

Kim, M. (2016). Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Mansuck. “Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions.” 2016. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/156852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Mansuck. “Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions.” 2016. Web. 25 Feb 2020.

Vancouver:

Kim M. Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/156852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim M. Computational Identification of Functional Modules and Hub Genes Involved in Pathogenicity-Associated or Defense Response on Fusarium Verticillioides-Maize Interactions. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

13. McClenny, Levi Daniel. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.

Degree: 2016, Texas A&M University

 Recently, state space signal models have been proposed to characterize the behavior of discrete-time boolean dynamical systems. The current system model is one in which… (more)

Subjects/Keywords: Boolean; Kalman; Filtering; Colored Noise; Correlated Noise; Particle Filtering

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APA (6th Edition):

McClenny, L. D. (2016). Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157796

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/157796.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

McClenny, Levi Daniel. “Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise.” 2016. Web. 25 Feb 2020.

Vancouver:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/157796.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McClenny LD. Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157796

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

14. Khunlertgit, Navadon. Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers.

Degree: 2016, Texas A&M University

 Identification of robust biomarkers for cancer prognosis based on gene expression data is an important research problem in translational genomics. The high-dimensional and small-sample-size data… (more)

Subjects/Keywords: Cancer classification; Pathway marker; Subnetwork marker; PPI network; Subnetwork identification; Modular activity inference; Modular marker

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APA (6th Edition):

Khunlertgit, N. (2016). Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159035

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khunlertgit, Navadon. “Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers.” 2016. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/159035.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khunlertgit, Navadon. “Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers.” 2016. Web. 25 Feb 2020.

Vancouver:

Khunlertgit N. Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/159035.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khunlertgit N. Improvement of Reproducibility in Cancer Classification Based on Pathway Markers and Subnetwork Markers. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159035

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

15. Bahadorinejad, Arghavan. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.

Degree: 2017, Texas A&M University

 It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due… (more)

Subjects/Keywords: Fault detection; Classification

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APA (6th Edition):

Bahadorinejad, A. (2017). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161434

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/161434.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Web. 25 Feb 2020.

Vancouver:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/161434.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161434

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

16. Zhao, Wentao. Genomic applications of statistical signal processing.

Degree: 2009, Texas A&M University

 Biological phenomena in the cells can be explained in terms of the interactions among biological macro-molecules, e.g., DNAs, RNAs and proteins. These interactions can be… (more)

Subjects/Keywords: genetic network; signal processing

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APA (6th Edition):

Zhao, W. (2009). Genomic applications of statistical signal processing. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Wentao. “Genomic applications of statistical signal processing.” 2009. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Wentao. “Genomic applications of statistical signal processing.” 2009. Web. 25 Feb 2020.

Vancouver:

Zhao W. Genomic applications of statistical signal processing. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao W. Genomic applications of statistical signal processing. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

17. Xu, Qian. Layered Wyner-Ziv video coding: a new approach to video compression and delivery.

Degree: 2009, Texas A&M University

 Following recent theoretical works on successive Wyner-Ziv coding, we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantiza- tion, and irregular… (more)

Subjects/Keywords: Wyner-Ziv coding; video; Slepian-Wolf coding; distributed source coding

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APA (6th Edition):

Xu, Q. (2009). Layered Wyner-Ziv video coding: a new approach to video compression and delivery. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xu, Qian. “Layered Wyner-Ziv video coding: a new approach to video compression and delivery.” 2009. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xu, Qian. “Layered Wyner-Ziv video coding: a new approach to video compression and delivery.” 2009. Web. 25 Feb 2020.

Vancouver:

Xu Q. Layered Wyner-Ziv video coding: a new approach to video compression and delivery. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu Q. Layered Wyner-Ziv video coding: a new approach to video compression and delivery. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

18. Gold, David L. Bayesian learning in bioinformatics.

Degree: 2009, Texas A&M University

 Life sciences research is advancing in breadth and scope, affecting many areas of life including medical care and government policy. The field of Bioinformatics, in… (more)

Subjects/Keywords: Bayesian; Bioinformatics

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APA (6th Edition):

Gold, D. L. (2009). Bayesian learning in bioinformatics. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-1624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gold, David L. “Bayesian learning in bioinformatics.” 2009. Web. 25 Feb 2020.

Vancouver:

Gold DL. Bayesian learning in bioinformatics. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gold DL. Bayesian learning in bioinformatics. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

19. Su, Junjie. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.

Degree: 2012, Texas A&M University

 Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical… (more)

Subjects/Keywords: cancer classification; pathway activity inference; subnetwork markers; Protein-Protein Interaction (PPI) network

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APA (6th Edition):

Su, J. (2012). Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Su, Junjie. “Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers.” 2012. Web. 25 Feb 2020.

Vancouver:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su J. Accurate and Reliable Cancer Classi cation Based on Pathway-Markers and Subnetwork-Markers. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

20. Ghaffari, Noushin. Genomic Regulatory Networks, Reduction Mappings and Control.

Degree: 2012, Texas A&M University

 All high-level living organisms are made of small cell units, containing DNA, RNA, genes, proteins etc. Genes are important components of the cells and it… (more)

Subjects/Keywords: Genetic regulatory networks; Translational genomics; control policy; intervention; probabilistic Boolean network; boolean networks; synthetic netwroks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghaffari, N. (2012). Genomic Regulatory Networks, Reduction Mappings and Control. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghaffari, Noushin. “Genomic Regulatory Networks, Reduction Mappings and Control.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghaffari, Noushin. “Genomic Regulatory Networks, Reduction Mappings and Control.” 2012. Web. 25 Feb 2020.

Vancouver:

Ghaffari N. Genomic Regulatory Networks, Reduction Mappings and Control. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghaffari N. Genomic Regulatory Networks, Reduction Mappings and Control. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

21. Sahraeian, Sayed 1983-. Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences.

Degree: 2013, Texas A&M University

 Comparative analysis of genomic data investigates the relationship of genome structure and function across different biological species to shed light on their similarities and differences.… (more)

Subjects/Keywords: Network alignment; Network querying; Sequence alignment; Comparative genomics

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APA (6th Edition):

Sahraeian, S. 1. (2013). Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sahraeian, Sayed 1983-. “Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/149225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sahraeian, Sayed 1983-. “Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences.” 2013. Web. 25 Feb 2020.

Vancouver:

Sahraeian S1. Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/149225.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sahraeian S1. Probabilistic Approaches in Comparative Analysis of Biological Networks and Sequences. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149225

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

22. Rezaei Yousefi, Mohammadmahdi. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.

Degree: 2013, Texas A&M University

 A basic issue for translational genomics is to model gene interactions via gene regulatory networks (GRNs) and thereby provide an informatics environment to derive and… (more)

Subjects/Keywords: Genetic Regulatory Networks; Probabilistic Boolean Networks; Cancer Therapy; Optimal Intervention; Dynamic Programming; Linear Programming

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APA (6th Edition):

Rezaei Yousefi, M. (2013). Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rezaei Yousefi, Mohammadmahdi. “Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/149416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rezaei Yousefi, Mohammadmahdi. “Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy.” 2013. Web. 25 Feb 2020.

Vancouver:

Rezaei Yousefi M. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/149416.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rezaei Yousefi M. Optimal Intervention in Markovian Genetic Regulatory Networks for Cancer Therapy. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149416

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

23. Lin, Pey Chang K. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.

Degree: 2013, Texas A&M University

 In the quest to understand cell behavior and cure genetic diseases such as cancer, the fundamental approach being taken is undergoing a gradual change. It… (more)

Subjects/Keywords: Genomics; Logic Synthesis; Boolean Satisfiability; Gene Regulatory Networks

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APA (6th Edition):

Lin, P. C. K. (2013). Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Pey Chang K. “Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/151088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Pey Chang K. “Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks.” 2013. Web. 25 Feb 2020.

Vancouver:

Lin PCK. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/151088.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin PCK. Application of Logic Synthesis Toward the Inference and Control of Gene Regulatory Networks. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151088

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

24. Nikooienejad, Amir. Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing.

Degree: 2013, Texas A&M University

 Recent improvements in sequencing technologies have caused various interesting problems to arouse. Having millions of read sequences as the final product of sequencing genome at… (more)

Subjects/Keywords: NGS; Barcode; Markers; RADSeq; PAV

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APA (6th Edition):

Nikooienejad, A. (2013). Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nikooienejad, Amir. “Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/151135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nikooienejad, Amir. “Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing.” 2013. Web. 25 Feb 2020.

Vancouver:

Nikooienejad A. Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/151135.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nikooienejad A. Presence / Absence Marker Discovery in RAD Markers for Multiplexed Samples in the Context of Next-Generation Sequencing. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151135

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

25. Chen, Ting. Estimation and Detection of Multivariate Gene Regulatory Relationships.

Degree: 2013, Texas A&M University

 The Coefficient of Determination (CoD) plays an important role in Genomics problems, for instance, in the inference of gene regulatory networks from gene- expression data.… (more)

Subjects/Keywords: Coefficient of Determination; Frequentist Inference; Maximum-Likelihood Estimation; Multiple Testing Procedures; Bayesian Inference

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APA (6th Edition):

Chen, T. (2013). Estimation and Detection of Multivariate Gene Regulatory Relationships. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Ting. “Estimation and Detection of Multivariate Gene Regulatory Relationships.” 2013. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/151702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Ting. “Estimation and Detection of Multivariate Gene Regulatory Relationships.” 2013. Web. 25 Feb 2020.

Vancouver:

Chen T. Estimation and Detection of Multivariate Gene Regulatory Relationships. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/151702.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen T. Estimation and Detection of Multivariate Gene Regulatory Relationships. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151702

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

26. Knight, Jason Matthew. Optimal Model-Based Approaches for Predictive Inference in Biology.

Degree: 2015, Texas A&M University

 Predictive modeling of the dynamic, multivariate, non-linear, stochastic systems of biology is a difficult enterprise. High throughput measurement techniques are enabling new approaches to computational… (more)

Subjects/Keywords: computational biology; predictive inference; statistical modeling; bioinformatics

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APA (6th Edition):

Knight, J. M. (2015). Optimal Model-Based Approaches for Predictive Inference in Biology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/155131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Knight, Jason Matthew. “Optimal Model-Based Approaches for Predictive Inference in Biology.” 2015. Web. 25 Feb 2020.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/155131.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155131

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

27. Jiang, Xingde. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

 Bolstered resubstitution is a simple and fast error estimation method that has been shown to perform better than cross-validation and comparably with bootstrap in small-sample… (more)

Subjects/Keywords: pattern recognition; naive-Bayes; bolstered error estimation; model selection; RNA-Seq; bioinformatics; banana cultivars; drought stress; pathogen disease; genes and pathways; biotic and abiotic stress; pathway analysis

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APA (6th Edition):

Jiang, X. (2016). Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158920

Chicago Manual of Style (16th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/158920.

MLA Handbook (7th Edition):

Jiang, Xingde. “Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars.” 2016. Web. 25 Feb 2020.

Vancouver:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/158920.

Council of Science Editors:

Jiang X. Novel Pattern Recognition Approaches to Identification of Gene-Expression Pathways in Banana Cultivars. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158920


Texas A&M University

28. Ren, Shaogang. SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA.

Degree: PhD, Computer Engineering, 2017, Texas A&M University

 Emerging technologies and digital devices provide us with increasingly large volume of data with respect to both the sample size and the number of features.… (more)

Subjects/Keywords: Sparse Learning; LASSO; Structured Sparse; Scalability; Big Data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ren, S. (2017). SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173033

Chicago Manual of Style (16th Edition):

Ren, Shaogang. “SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/173033.

MLA Handbook (7th Edition):

Ren, Shaogang. “SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA.” 2017. Web. 25 Feb 2020.

Vancouver:

Ren S. SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/173033.

Council of Science Editors:

Ren S. SCALABLE ALGORITHMS FOR HIGH DIMENSIONAL STRUCTURED DATA. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173033


Texas A&M University

29. Imani, Mahdi. Estimation, Inference and Learning of Partially-Observed Dynamical Systems.

Degree: PhD, Electrical Engineering, 2019, Texas A&M University

 Demand for learning, design and decision making is higher than ever before. Autonomous vehicles need to learn how to ride safely by recognizing pedestrians, traffic… (more)

Subjects/Keywords: Dynamical Systems; Bayesian Optimization; Reinforcement Learning; Machine Learning; Inference; Dynamical Systems; Hidden Markov Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Imani, M. (2019). Estimation, Inference and Learning of Partially-Observed Dynamical Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/184417

Chicago Manual of Style (16th Edition):

Imani, Mahdi. “Estimation, Inference and Learning of Partially-Observed Dynamical Systems.” 2019. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/184417.

MLA Handbook (7th Edition):

Imani, Mahdi. “Estimation, Inference and Learning of Partially-Observed Dynamical Systems.” 2019. Web. 25 Feb 2020.

Vancouver:

Imani M. Estimation, Inference and Learning of Partially-Observed Dynamical Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/184417.

Council of Science Editors:

Imani M. Estimation, Inference and Learning of Partially-Observed Dynamical Systems. [Doctoral Dissertation]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/184417


Texas A&M University

30. Chen, Chun-Chi. Emerging Topics in Genome Sequencing and Analysis.

Degree: PhD, Electrical Engineering, 2017, Texas A&M University

 This dissertation studies the emerging topics in genome sequencing and analysis with DNA and RNA. The optimal hybrid sequencing and assembly for accurate genome reconstruction… (more)

Subjects/Keywords: DNA assembly; whole genome reconstruction; RNA structural alignment; topological network; piRNA prediction; n-gram model; support vector machine; ncRNA prediction; comparative genome analysis; generalized ensemble defect

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, C. (2017). Emerging Topics in Genome Sequencing and Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173085

Chicago Manual of Style (16th Edition):

Chen, Chun-Chi. “Emerging Topics in Genome Sequencing and Analysis.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/173085.

MLA Handbook (7th Edition):

Chen, Chun-Chi. “Emerging Topics in Genome Sequencing and Analysis.” 2017. Web. 25 Feb 2020.

Vancouver:

Chen C. Emerging Topics in Genome Sequencing and Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/173085.

Council of Science Editors:

Chen C. Emerging Topics in Genome Sequencing and Analysis. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173085

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