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You searched for +publisher:"Texas A&M University" +contributor:("Ivanov, Ivan"). Showing records 1 – 19 of 19 total matches.

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Texas A&M University

1. 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 17, 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. 17 Feb 2020.

Vancouver:

Zhao C. Stochastic Modeling and Analysis of Pathway Regulation and Dynamics. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. 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

2. 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 17, 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. 17 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 17]. 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

3. Kachroo, Priyanka. Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia.

Degree: 2012, Texas A&M University

 Recurrent airway obstruction (RAO) and Rhodococcus equi (R. equi) pneumonia are two equine respiratory diseases. RAO is an allergic asthma like disease of the middle-aged… (more)

Subjects/Keywords: Equine; Microarray; Heaves; Pneumonia

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APA (6th Edition):

Kachroo, P. (2012). Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10994

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):

Kachroo, Priyanka. “Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia.” 2012. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10994.

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

MLA Handbook (7th Edition):

Kachroo, Priyanka. “Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia.” 2012. Web. 17 Feb 2020.

Vancouver:

Kachroo P. Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10994.

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

Council of Science Editors:

Kachroo P. Functional Analyses of the Molecular mechanisms Underlying Two Equine Respiratory Diseases: Recurrent Airway Obstruction and Rhodococcus equi Pneumonia. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10994

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


Texas A&M University

4. 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 17, 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. 17 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 17]. 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

5. 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 17, 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. 17 Feb 2020.

Vancouver:

Shahrokh Esfahani M. Using Prior Knowledge in the Design of Classifiers. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 17]. 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

6. 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 17, 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. 17 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 17]. 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

7. Lee, Seokho. Principal Components Analysis for Binary Data.

Degree: 2010, Texas A&M University

 Principal components analysis (PCA) has been widely used as a statistical tool for the dimension reduction of multivariate data in various application areas and extensively… (more)

Subjects/Keywords: BINARY DATA; DIMENSION REDUCTION; MM ALGORITHM; LASSO; PCA; REGULARIZATION; SPARSITY; VARIATIONAL METHOD

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APA (6th Edition):

Lee, S. (2010). Principal Components Analysis for Binary Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

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):

Lee, Seokho. “Principal Components Analysis for Binary Data.” 2010. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

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

MLA Handbook (7th Edition):

Lee, Seokho. “Principal Components Analysis for Binary Data.” 2010. Web. 17 Feb 2020.

Vancouver:

Lee S. Principal Components Analysis for Binary Data. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

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

Council of Science Editors:

Lee S. Principal Components Analysis for Binary Data. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

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


Texas A&M University

8. 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 17, 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. 17 Feb 2020.

Vancouver:

Ghaffari N. Genomic Regulatory Networks, Reduction Mappings and Control. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. 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

9. Yellapantula, Sudha. Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques.

Degree: 2010, Texas A&M University

 Most signal processing systems today need to estimate parameters of the underlying probability distribution, however quantifying the robustness of this system has always been difficult.… (more)

Subjects/Keywords: Robustness; Differential Geometry

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APA (6th Edition):

Yellapantula, S. (2010). Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375

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):

Yellapantula, Sudha. “Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques.” 2010. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375.

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

MLA Handbook (7th Edition):

Yellapantula, Sudha. “Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques.” 2010. Web. 17 Feb 2020.

Vancouver:

Yellapantula S. Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375.

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

Council of Science Editors:

Yellapantula S. Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-375

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


Texas A&M University

10. 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 17, 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. 17 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 17]. 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

11. Kim, Hye Mee. Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis.

Degree: 2013, Texas A&M University

 Ulcerative colitis is a chronic inflammation of the large intestine, and it may increase risk of human colorectal cancer. Polyphenolics from mango and pomegranate have… (more)

Subjects/Keywords: Mango; Pomegranate; Colitis; Rat; mTOR

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APA (6th Edition):

Kim, H. M. (2013). Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151871

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, Hye Mee. “Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis.” 2013. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/151871.

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

MLA Handbook (7th Edition):

Kim, Hye Mee. “Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis.” 2013. Web. 17 Feb 2020.

Vancouver:

Kim HM. Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/151871.

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

Council of Science Editors:

Kim HM. Polyphenolics from Mango (Mangifera indica L.) and Pomegranate (Punica granatum L.) Suppress Inflammation in in vivo and in vitro Models for Colitis. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151871

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


Texas A&M University

12. 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 17, 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. 17 Feb 2020.

Vancouver:

Knight JM. Optimal Model-Based Approaches for Predictive Inference in Biology. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 17]. 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

13. Dehghannasiri, Roozbeh. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.

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

 In many real-world engineering applications, model uncertainty is inherent. Largescale dynamical systems cannot be perfectly modeled due to systems complexity, lack of enough training data,… (more)

Subjects/Keywords: Objective-based experimental design; Mean objective cost of uncertainty; Intrinsically Bayesian robust operator; Gene regulatory networks; Canonical expansions; Wiener filtering; Signal compression

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APA (6th Edition):

Dehghannasiri, R. (2016). Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158097

Chicago Manual of Style (16th Edition):

Dehghannasiri, Roozbeh. “Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/158097.

MLA Handbook (7th Edition):

Dehghannasiri, Roozbeh. “Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification.” 2016. Web. 17 Feb 2020.

Vancouver:

Dehghannasiri R. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/158097.

Council of Science Editors:

Dehghannasiri R. Optimal Experimental Design in the Context of Objective-Based Uncertainty Quantification. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158097


Texas A&M University

14. Atashpazgargari, Esmaeil. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.

Degree: 2014, Texas A&M University

 Discovery and validation of protein biomarkers with high specificity is the main challenge of current proteomics studies. Different mass spectrometry models are used as shotgun… (more)

Subjects/Keywords: Biomarker Validation; Selected Reaction Monitoring; Branch and Bound

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APA (6th Edition):

Atashpazgargari, E. (2014). Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153588

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):

Atashpazgargari, Esmaeil. “Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.” 2014. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/153588.

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

MLA Handbook (7th Edition):

Atashpazgargari, Esmaeil. “Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis.” 2014. Web. 17 Feb 2020.

Vancouver:

Atashpazgargari E. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/153588.

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

Council of Science Editors:

Atashpazgargari E. Biomarker Discovery and Validation for Proteomics and Genomics: Modeling And Systematic Analysis. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153588

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

15. Salazar, Natacha Maria. Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression.

Degree: 2012, Texas A&M University

 The physiological responses to exercise depend on intensity, duration, and type of exercise. The muscles in the body have complex regulation responses in order to… (more)

Subjects/Keywords: Exercise training; acute exercise; sled dogs; microarrays; fatigue resistance

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APA (6th Edition):

Salazar, N. M. (2012). Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-9005

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):

Salazar, Natacha Maria. “Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression.” 2012. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-9005.

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

MLA Handbook (7th Edition):

Salazar, Natacha Maria. “Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression.” 2012. Web. 17 Feb 2020.

Vancouver:

Salazar NM. Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-9005.

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

Council of Science Editors:

Salazar NM. Evaluation of Fatigue Resistance in Alaskan Sled Dogs Through Exercise Induced Myocyte Gene Expression. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-9005

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

16. Morris, David Christopher. The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis.

Degree: 2015, Texas A&M University

 The high incidence of invasive breast carcinomas, which accounts for about 90% of all breast cancer-related deaths, underscores the need for new and more effective… (more)

Subjects/Keywords: Nck; breast cancer; metastasis; invadopodia

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APA (6th Edition):

Morris, D. C. (2015). The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155550

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):

Morris, David Christopher. “The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis.” 2015. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/155550.

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

MLA Handbook (7th Edition):

Morris, David Christopher. “The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis.” 2015. Web. 17 Feb 2020.

Vancouver:

Morris DC. The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/155550.

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

Council of Science Editors:

Morris DC. The Role of Nck in Breast Carcinoma Cell Invasion and Metastasis. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155550

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

17. Koonchanok, Ratanond. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.

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

 Sparse canonical correlation analysis (sparse CCA) is a method for identifying sparse linear combinations of the two sets of variables that are highly correlated with… (more)

Subjects/Keywords: Sparse Canonical Correlation Analysis

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

APA (6th Edition):

Koonchanok, R. (2017). Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169581

Chicago Manual of Style (16th Edition):

Koonchanok, Ratanond. “Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.” 2017. Masters Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/169581.

MLA Handbook (7th Edition):

Koonchanok, Ratanond. “Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data.” 2017. Web. 17 Feb 2020.

Vancouver:

Koonchanok R. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/169581.

Council of Science Editors:

Koonchanok R. Computational Tool for Applications of Sparse Canonical Correlation Analysis on Biological Data. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169581

18. Joshi, Adarsh. Bayesian Model Selection for High-dimensional High-throughput Data.

Degree: 2012, Texas A&M University

 Bayesian methods are often criticized on the grounds of subjectivity. Furthermore, misspecified priors can have a deleterious effect on Bayesian inference. Noting that model selection… (more)

Subjects/Keywords: Bayes factors; Bayes factors based on test statistics; Bayesian Graphs; MCMC; Objective Bayesian Analysis; Bayesian Model Selection; Microarray data; Single-nucleotide polymorphism (SNP) data

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

APA (6th Edition):

Joshi, A. (2012). Bayesian Model Selection for High-dimensional High-throughput Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7740

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):

Joshi, Adarsh. “Bayesian Model Selection for High-dimensional High-throughput Data.” 2012. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7740.

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

MLA Handbook (7th Edition):

Joshi, Adarsh. “Bayesian Model Selection for High-dimensional High-throughput Data.” 2012. Web. 17 Feb 2020.

Vancouver:

Joshi A. Bayesian Model Selection for High-dimensional High-throughput Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7740.

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

Council of Science Editors:

Joshi A. Bayesian Model Selection for High-dimensional High-throughput Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7740

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

19. Dalton, Lori Anne. Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework.

Degree: 2012, Texas A&M University

 With the advent of high-throughput genomic and proteomic technologies, in conjunction with the difficulty in obtaining even moderately sized samples, small-sample classifier design has become… (more)

Subjects/Keywords: Bayesian estimation; classification; error estimation; genomics; minimum mean-square estimation; small samples

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

APA (6th Edition):

Dalton, L. A. (2012). Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873

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):

Dalton, Lori Anne. “Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework.” 2012. Thesis, Texas A&M University. Accessed February 17, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873.

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

MLA Handbook (7th Edition):

Dalton, Lori Anne. “Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework.” 2012. Web. 17 Feb 2020.

Vancouver:

Dalton LA. Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873.

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

Council of Science Editors:

Dalton LA. Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873

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

.