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You searched for +publisher:"Virginia Tech" +contributor:("Murali, T. M."). Showing records 1 – 30 of 54 total matches.

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1. Singh, Divit Pal. GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways.

Degree: MS, Computer Science and Applications, 2016, Virginia Tech

 Automated analysis of networks of interactions between proteins has become pervasive in molecular biology. Each node in such a network represents a protein and each… (more)

Subjects/Keywords: rowdsourcing; Graphs; Layout; Algorithms; Signaling networks

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APA (6th Edition):

Singh, D. P. (2016). GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71716

Chicago Manual of Style (16th Edition):

Singh, Divit Pal. “GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways.” 2016. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/71716.

MLA Handbook (7th Edition):

Singh, Divit Pal. “GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways.” 2016. Web. 07 Mar 2021.

Vancouver:

Singh DP. GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/71716.

Council of Science Editors:

Singh DP. GraphCrowd: Harnessing the Crowd to Lay Out Graphs with Applications to Cellular Signaling Pathways. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71716

2. Nayyar, Krati. Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm.

Degree: MS, Computer Science and Applications, 2017, Virginia Tech

 In various business and military settings, there is an expectation of on-demand delivery of supplies and services. Typically, several delivery vehicles (also called servers) carry… (more)

Subjects/Keywords: online algorithms; weighted matching; competitive ratio; input sensitive

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APA (6th Edition):

Nayyar, K. (2017). Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86518

Chicago Manual of Style (16th Edition):

Nayyar, Krati. “Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm.” 2017. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/86518.

MLA Handbook (7th Edition):

Nayyar, Krati. “Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm.” 2017. Web. 07 Mar 2021.

Vancouver:

Nayyar K. Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/86518.

Council of Science Editors:

Nayyar K. Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86518

3. Wagner, Mitchell James. Reconstructing Signaling Pathways Using Regular-Language Constrained Paths.

Degree: MS, Computer Science and Applications, 2018, Virginia Tech

 Signaling pathways are widely studied in systems biology. Several databases catalog our knowledge of these pathways, including the proteins and interactions that comprise them. However,… (more)

Subjects/Keywords: Regular Languages; Shortest Paths; Signaling Networks

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APA (6th Edition):

Wagner, M. J. (2018). Reconstructing Signaling Pathways Using Regular-Language Constrained Paths. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85044

Chicago Manual of Style (16th Edition):

Wagner, Mitchell James. “Reconstructing Signaling Pathways Using Regular-Language Constrained Paths.” 2018. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/85044.

MLA Handbook (7th Edition):

Wagner, Mitchell James. “Reconstructing Signaling Pathways Using Regular-Language Constrained Paths.” 2018. Web. 07 Mar 2021.

Vancouver:

Wagner MJ. Reconstructing Signaling Pathways Using Regular-Language Constrained Paths. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/85044.

Council of Science Editors:

Wagner MJ. Reconstructing Signaling Pathways Using Regular-Language Constrained Paths. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85044


Virginia Tech

4. Cho, Yong Ju. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 Recent advances in systems biology have uncovered detailed mechanisms of  biological processes such as the cell cycle, circadian rhythms,  and signaling pathways.  These mechanisms are… (more)

Subjects/Keywords: Chemical reaction networks; bistability; data mining; time series modeling

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APA (6th Edition):

Cho, Y. J. (2013). Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19244

Chicago Manual of Style (16th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/19244.

MLA Handbook (7th Edition):

Cho, Yong Ju. “Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks.” 2013. Web. 07 Mar 2021.

Vancouver:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/19244.

Council of Science Editors:

Cho YJ. Algorithms for Reconstructing and Reasoning about Chemical Reaction Networks. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/19244


Virginia Tech

5. Poirel, Christopher L. Bridging Methodological Gaps in Network-Based Systems Biology.

Degree: PhD, Computer Science and Applications, 2013, Virginia Tech

 Functioning of the living cell is controlled by a complex network of interactions among genes, proteins, and other molecules. A major goal of systems biology… (more)

Subjects/Keywords: Computational Biology; Functional Enrichment; Graph Theory; Network; Random Walk; Signaling Pathways; Top-Down Analysis

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APA (6th Edition):

Poirel, C. L. (2013). Bridging Methodological Gaps in Network-Based Systems Biology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23899

Chicago Manual of Style (16th Edition):

Poirel, Christopher L. “Bridging Methodological Gaps in Network-Based Systems Biology.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/23899.

MLA Handbook (7th Edition):

Poirel, Christopher L. “Bridging Methodological Gaps in Network-Based Systems Biology.” 2013. Web. 07 Mar 2021.

Vancouver:

Poirel CL. Bridging Methodological Gaps in Network-Based Systems Biology. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/23899.

Council of Science Editors:

Poirel CL. Bridging Methodological Gaps in Network-Based Systems Biology. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23899


Virginia Tech

6. Guo, Sheng. Using Dependency Parses to Augment Feature Construction for Text Mining.

Degree: PhD, Computer Science, 2012, Virginia Tech

 With the prevalence of large data stored in the cloud, including unstructured information in the form of text, there is now an increased emphasis on… (more)

Subjects/Keywords: dependency parsing; text mining; linguistic cues

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APA (6th Edition):

Guo, S. (2012). Using Dependency Parses to Augment Feature Construction for Text Mining. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28046

Chicago Manual of Style (16th Edition):

Guo, Sheng. “Using Dependency Parses to Augment Feature Construction for Text Mining.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/28046.

MLA Handbook (7th Edition):

Guo, Sheng. “Using Dependency Parses to Augment Feature Construction for Text Mining.” 2012. Web. 07 Mar 2021.

Vancouver:

Guo S. Using Dependency Parses to Augment Feature Construction for Text Mining. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/28046.

Council of Science Editors:

Guo S. Using Dependency Parses to Augment Feature Construction for Text Mining. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28046


Virginia Tech

7. Patnaik, Debprakash. Multiple Uses of Frequent Episodes in Temporal Process Modeling.

Degree: PhD, Computer Science, 2011, Virginia Tech

 This dissertation investigates algorithmic techniques for temporal process discovery in many domains. Many different formalisms have been proposed for modeling temporal processes such as motifs,… (more)

Subjects/Keywords: motifs; graphical models; frequent episodes; dynamic Bayesian networks; temporal data mining

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APA (6th Edition):

Patnaik, D. (2011). Multiple Uses of Frequent Episodes in Temporal Process Modeling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28413

Chicago Manual of Style (16th Edition):

Patnaik, Debprakash. “Multiple Uses of Frequent Episodes in Temporal Process Modeling.” 2011. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/28413.

MLA Handbook (7th Edition):

Patnaik, Debprakash. “Multiple Uses of Frequent Episodes in Temporal Process Modeling.” 2011. Web. 07 Mar 2021.

Vancouver:

Patnaik D. Multiple Uses of Frequent Episodes in Temporal Process Modeling. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/28413.

Council of Science Editors:

Patnaik D. Multiple Uses of Frequent Episodes in Temporal Process Modeling. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28413


Virginia Tech

8. Choi, Hyunjin. An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 Pathogens colonize their hosts by releasing molecules that can enter host cells. A biotrophic oomycete plant pathogen, Phytophthora sojae harbors a superfamily of effector genes… (more)

Subjects/Keywords: Protein function prediction; Phytophthora sojae; effectors; support vector machines; functional linkage network; amino acid physical properties

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APA (6th Edition):

Choi, H. (2013). An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51762

Chicago Manual of Style (16th Edition):

Choi, Hyunjin. “An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/51762.

MLA Handbook (7th Edition):

Choi, Hyunjin. “An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation.” 2013. Web. 07 Mar 2021.

Vancouver:

Choi H. An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/51762.

Council of Science Editors:

Choi H. An Interdisciplinary Approach: Computational Sequence Motif Search and Prediction of Protein Function with Experimental Validation. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51762


Virginia Tech

9. Lahn, Nathaniel Adam. A Separator-Based Framework for Graph Matching Problems.

Degree: PhD, Computer Science and Applications, 2020, Virginia Tech

 Assume we are given a list of objects, and a list of compatible pairs of these objects. A matching consists of a chosen subset of… (more)

Subjects/Keywords: Matching; graphs; graph separators; combinatorial optimization

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APA (6th Edition):

Lahn, N. A. (2020). A Separator-Based Framework for Graph Matching Problems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98618

Chicago Manual of Style (16th Edition):

Lahn, Nathaniel Adam. “A Separator-Based Framework for Graph Matching Problems.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/98618.

MLA Handbook (7th Edition):

Lahn, Nathaniel Adam. “A Separator-Based Framework for Graph Matching Problems.” 2020. Web. 07 Mar 2021.

Vancouver:

Lahn NA. A Separator-Based Framework for Graph Matching Problems. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/98618.

Council of Science Editors:

Lahn NA. A Separator-Based Framework for Graph Matching Problems. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98618

10. Orbach, Sophia Michelle. Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis.

Degree: PhD, Chemical Engineering, 2018, Virginia Tech

 The liver is responsible for lipid and glucose metabolism, protein and bile synthesis and the biotransformation of xenobiotics. These functions, performed by hepatocytes, are dependent… (more)

Subjects/Keywords: organotypic culture models; liver; multi-cellular; hepatotoxicity; acetaminophen; high-throughput; fibrosis

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APA (6th Edition):

Orbach, S. M. (2018). Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93313

Chicago Manual of Style (16th Edition):

Orbach, Sophia Michelle. “Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis.” 2018. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/93313.

MLA Handbook (7th Edition):

Orbach, Sophia Michelle. “Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis.” 2018. Web. 07 Mar 2021.

Vancouver:

Orbach SM. Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/93313.

Council of Science Editors:

Orbach SM. Multi-Cellular Organotypic Liver Models for the Investigation of Chemical Toxicity and Liver Fibrosis. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/93313


Virginia Tech

11. Vu, Lucas Trung. Proteomic Analysis of Three Dimensional Organotypic Liver Models.

Degree: PhD, Chemical Engineering, 2015, Virginia Tech

 In vitro liver models that closely mimic the in vivo microenvironment are central for understanding hepatic functions and intercellular communication processes. Bottom-up shotgun proteomic analysis… (more)

Subjects/Keywords: Shotgun Proteomics; Liver; In vitro

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APA (6th Edition):

Vu, L. T. (2015). Proteomic Analysis of Three Dimensional Organotypic Liver Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77033

Chicago Manual of Style (16th Edition):

Vu, Lucas Trung. “Proteomic Analysis of Three Dimensional Organotypic Liver Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/77033.

MLA Handbook (7th Edition):

Vu, Lucas Trung. “Proteomic Analysis of Three Dimensional Organotypic Liver Models.” 2015. Web. 07 Mar 2021.

Vancouver:

Vu LT. Proteomic Analysis of Three Dimensional Organotypic Liver Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/77033.

Council of Science Editors:

Vu LT. Proteomic Analysis of Three Dimensional Organotypic Liver Models. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/77033


Virginia Tech

12. Liu, Zhen. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.

Degree: PhD, Computer Science and Applications, 2012, Virginia Tech

 In this thesis we study stochastic modeling and simulation methods for biochemical systems. The thesis is focused on systems with multi-state and multi-scale features and… (more)

Subjects/Keywords: SSA; Stochsim; rule-based modeling; QSSA; hybrid method

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APA (6th Edition):

Liu, Z. (2012). Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19191

Chicago Manual of Style (16th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/19191.

MLA Handbook (7th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Web. 07 Mar 2021.

Vancouver:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/19191.

Council of Science Editors:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/19191


Virginia Tech

13. Kidane, Yared Habteselassie. The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2012, Virginia Tech

 The threat from infectious diseases dates as far back as prehistoric times. Pathogens continue to pose serious challenges to human health. The emergence and spread… (more)

Subjects/Keywords: drug resistance; host-oriented broad-spectrum drug targets; infectious diseases; immunomodulation; host transcriptional responses

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APA (6th Edition):

Kidane, Y. H. (2012). The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77368

Chicago Manual of Style (16th Edition):

Kidane, Yared Habteselassie. “The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug.” 2012. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/77368.

MLA Handbook (7th Edition):

Kidane, Yared Habteselassie. “The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug.” 2012. Web. 07 Mar 2021.

Vancouver:

Kidane YH. The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/77368.

Council of Science Editors:

Kidane YH. The Landscape of Host Transcriptional Response Programs Commonly Perturbed by Infectious Pathogens: Towards Host-Oriented Broad-Spectrum Drug. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77368


Virginia Tech

14. Jalihal, Amogh Prabhav. Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2020, Virginia Tech

 An important problem in biology is how organisms sense and adapt to ever changing environments. A good example of an environmental cue that affects animal… (more)

Subjects/Keywords: Yeast; Signaling; Mathematical Modeling; Boolean Models; RNAseq

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APA (6th Edition):

Jalihal, A. P. (2020). Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99306

Chicago Manual of Style (16th Edition):

Jalihal, Amogh Prabhav. “Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/99306.

MLA Handbook (7th Edition):

Jalihal, Amogh Prabhav. “Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae.” 2020. Web. 07 Mar 2021.

Vancouver:

Jalihal AP. Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/99306.

Council of Science Editors:

Jalihal AP. Mathematical modeling of macronutrient signaling in Saccharomyces cerevisiae. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99306


Virginia Tech

15. Kakumanu, Akshay. Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing.

Degree: MSin Life Sciences, Plant Pathology, Physiology, and Weed Science, 2012, Virginia Tech

 Drought is a major environmental stress factor that poses a serious threat to food security. The effects of drought on early reproductive tissue at 1-2… (more)

Subjects/Keywords: Drought; Illumina; RNA-Ser; Maize; Ovaries; Leaf Meristem

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APA (6th Edition):

Kakumanu, A. (2012). Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33907

Chicago Manual of Style (16th Edition):

Kakumanu, Akshay. “Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing.” 2012. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/33907.

MLA Handbook (7th Edition):

Kakumanu, Akshay. “Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing.” 2012. Web. 07 Mar 2021.

Vancouver:

Kakumanu A. Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/33907.

Council of Science Editors:

Kakumanu A. Effects of Drought on Gene Expression in Maize Reproductive and Leaf Meristem Tissues as Revealed by Deep Sequencing. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/33907


Virginia Tech

16. Lasher, Christopher Donald. Discovering contextual connections between biological processes using high-throughput data.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Hearkening to calls from life scientists for aid in interpreting rapidly-growing repositories of data, the fields of bioinformatics and computational systems biology continue to bear… (more)

Subjects/Keywords: molecular interactions; gene expression; liver; Markov chain Monte Carlo; computational systems biology

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APA (6th Edition):

Lasher, C. D. (2011). Discovering contextual connections between biological processes using high-throughput data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77217

Chicago Manual of Style (16th Edition):

Lasher, Christopher Donald. “Discovering contextual connections between biological processes using high-throughput data.” 2011. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/77217.

MLA Handbook (7th Edition):

Lasher, Christopher Donald. “Discovering contextual connections between biological processes using high-throughput data.” 2011. Web. 07 Mar 2021.

Vancouver:

Lasher CD. Discovering contextual connections between biological processes using high-throughput data. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/77217.

Council of Science Editors:

Lasher CD. Discovering contextual connections between biological processes using high-throughput data. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/77217


Virginia Tech

17. Kadelka, Claus Thomas. Robustness Analysis of Gene Regulatory Networks.

Degree: PhD, Mathematics, 2015, Virginia Tech

 Cells generally manage to maintain stable phenotypes in the face of widely varying environmental conditions. This fact is particularly surprising since the key step of… (more)

Subjects/Keywords: Boolean network; gene regulation; stability

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APA (6th Edition):

Kadelka, C. T. (2015). Robustness Analysis of Gene Regulatory Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73302

Chicago Manual of Style (16th Edition):

Kadelka, Claus Thomas. “Robustness Analysis of Gene Regulatory Networks.” 2015. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/73302.

MLA Handbook (7th Edition):

Kadelka, Claus Thomas. “Robustness Analysis of Gene Regulatory Networks.” 2015. Web. 07 Mar 2021.

Vancouver:

Kadelka CT. Robustness Analysis of Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/73302.

Council of Science Editors:

Kadelka CT. Robustness Analysis of Gene Regulatory Networks. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73302


Virginia Tech

18. Belal, Nahla Ahmed. Two Problems in Computational Genomics.

Degree: PhD, Computer Science, 2011, Virginia Tech

 This work addresses two novel problems in the field of computational genomics. The first is whole genome alignment and the second is inferring horizontal gene… (more)

Subjects/Keywords: horizontal gene transfer; Two Problems in Computational Genomics; whole genome alignment; dynamic programming; Graph theory; biology and genetics; graph algorithms; partial order sets

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APA (6th Edition):

Belal, N. A. (2011). Two Problems in Computational Genomics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26318

Chicago Manual of Style (16th Edition):

Belal, Nahla Ahmed. “Two Problems in Computational Genomics.” 2011. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/26318.

MLA Handbook (7th Edition):

Belal, Nahla Ahmed. “Two Problems in Computational Genomics.” 2011. Web. 07 Mar 2021.

Vancouver:

Belal NA. Two Problems in Computational Genomics. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/26318.

Council of Science Editors:

Belal NA. Two Problems in Computational Genomics. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/26318


Virginia Tech

19. Nordberg, Eric Kinsley. Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2015, Virginia Tech

 The demands placed on scientific software are different from those placed on general purpose software, and as a result, creating software for science and for… (more)

Subjects/Keywords: Phylogenetics; Microarray Probes; Oligonucleotide Design; Scientific Software; Automation

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APA (6th Edition):

Nordberg, E. K. (2015). Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64366

Chicago Manual of Style (16th Edition):

Nordberg, Eric Kinsley. “Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design.” 2015. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/64366.

MLA Handbook (7th Edition):

Nordberg, Eric Kinsley. “Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design.” 2015. Web. 07 Mar 2021.

Vancouver:

Nordberg EK. Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/64366.

Council of Science Editors:

Nordberg EK. Creating Scientific Software, with Application to Phylogenetics and Oligonucleotide Probe Design. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64366


Virginia Tech

20. Driscoll, Timothy. Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 Plants and animals are characterized by intimate, enduring, often indispensable, and always complex associations with microbes. Therefore, it should come as no surprise that when… (more)

Subjects/Keywords: phylogenomics; genome-mining; host-microbe interactions; genomics; bioinformatics; symbiosis; bacteria; lateral gene transfer

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APA (6th Edition):

Driscoll, T. (2013). Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50921

Chicago Manual of Style (16th Edition):

Driscoll, Timothy. “Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/50921.

MLA Handbook (7th Edition):

Driscoll, Timothy. “Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data.” 2013. Web. 07 Mar 2021.

Vancouver:

Driscoll T. Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/50921.

Council of Science Editors:

Driscoll T. Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/50921


Virginia Tech

21. Dang, Ha Xuan. Mold Allergomics: Comparative and Machine Learning Approaches.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2014, Virginia Tech

 Fungi are one of the major organisms that cause allergic disease in human. A number of proteins from fungi have been found to be allergenic… (more)

Subjects/Keywords: Fungal genomics; comparative genomics; allergy; allergen prediction

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APA (6th Edition):

Dang, H. X. (2014). Mold Allergomics: Comparative and Machine Learning Approaches. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64205

Chicago Manual of Style (16th Edition):

Dang, Ha Xuan. “Mold Allergomics: Comparative and Machine Learning Approaches.” 2014. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/64205.

MLA Handbook (7th Edition):

Dang, Ha Xuan. “Mold Allergomics: Comparative and Machine Learning Approaches.” 2014. Web. 07 Mar 2021.

Vancouver:

Dang HX. Mold Allergomics: Comparative and Machine Learning Approaches. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/64205.

Council of Science Editors:

Dang HX. Mold Allergomics: Comparative and Machine Learning Approaches. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64205


Virginia Tech

22. Hong, Tian. A framework for understanding heterogeneous differentiation of CD4⁺ T cells.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 CD4+ T cells are a group of lymphocytes that play critical roles in the immune system. By releasing cytokines, CD4+ T cells regulate other immune… (more)

Subjects/Keywords: CD4+ T cells; mathematical model; cell differentiation

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APA (6th Edition):

Hong, T. (2013). A framework for understanding heterogeneous differentiation of CD4⁺ T cells. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51228

Chicago Manual of Style (16th Edition):

Hong, Tian. “A framework for understanding heterogeneous differentiation of CD4⁺ T cells.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/51228.

MLA Handbook (7th Edition):

Hong, Tian. “A framework for understanding heterogeneous differentiation of CD4⁺ T cells.” 2013. Web. 07 Mar 2021.

Vancouver:

Hong T. A framework for understanding heterogeneous differentiation of CD4⁺ T cells. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/51228.

Council of Science Editors:

Hong T. A framework for understanding heterogeneous differentiation of CD4⁺ T cells. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51228


Virginia Tech

23. Ekhtiari Amiri, Sorour. Task-specific summarization of networks: Optimization and Learning.

Degree: PhD, Computer Science and Applications, 2019, Virginia Tech

 Networks (also known as graphs) are everywhere. People-contact networks, social networks, email communication networks, internet networks (among others) are examples of graphs in our daily… (more)

Subjects/Keywords: Graph mining; Sensemaking; Task-specific summarization; Learning to summarize; Interactive visualization; Reinforcement learning; Spectral representation

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APA (6th Edition):

Ekhtiari Amiri, S. (2019). Task-specific summarization of networks: Optimization and Learning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/100993

Chicago Manual of Style (16th Edition):

Ekhtiari Amiri, Sorour. “Task-specific summarization of networks: Optimization and Learning.” 2019. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/100993.

MLA Handbook (7th Edition):

Ekhtiari Amiri, Sorour. “Task-specific summarization of networks: Optimization and Learning.” 2019. Web. 07 Mar 2021.

Vancouver:

Ekhtiari Amiri S. Task-specific summarization of networks: Optimization and Learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/100993.

Council of Science Editors:

Ekhtiari Amiri S. Task-specific summarization of networks: Optimization and Learning. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/100993


Virginia Tech

24. Bharadwaj, Aditya. Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks.

Degree: PhD, Computer Science and Applications, 2020, Virginia Tech

 Practitioners in creative domains such as web design, data visualization, and software development face many challenges while trying to create novel solutions that satisfy the… (more)

Subjects/Keywords: Graph drawing; crowdsourcing; creative work; mixed-initiative systems; checklists; feedback

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APA (6th Edition):

Bharadwaj, A. (2020). Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99857

Chicago Manual of Style (16th Edition):

Bharadwaj, Aditya. “Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/99857.

MLA Handbook (7th Edition):

Bharadwaj, Aditya. “Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks.” 2020. Web. 07 Mar 2021.

Vancouver:

Bharadwaj A. Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/99857.

Council of Science Editors:

Bharadwaj A. Mixed-Initiative Methods for Following Design Guidelines in Creative Tasks. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99857


Virginia Tech

25. Warren, Andrew S. Methods for Analysis of Prokaryotic Genome Architecture.

Degree: PhD, Computer Science and Applications, 2017, Virginia Tech

 Research in comparative microbial genomics has largely been organized around the concept of reference genomes. Reference genomes provide a useful comparative touchstone for closely related… (more)

Subjects/Keywords: Computer science; Bioinformatics; Microbiology

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APA (6th Edition):

Warren, A. S. (2017). Methods for Analysis of Prokaryotic Genome Architecture. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86660

Chicago Manual of Style (16th Edition):

Warren, Andrew S. “Methods for Analysis of Prokaryotic Genome Architecture.” 2017. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/86660.

MLA Handbook (7th Edition):

Warren, Andrew S. “Methods for Analysis of Prokaryotic Genome Architecture.” 2017. Web. 07 Mar 2021.

Vancouver:

Warren AS. Methods for Analysis of Prokaryotic Genome Architecture. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/86660.

Council of Science Editors:

Warren AS. Methods for Analysis of Prokaryotic Genome Architecture. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/86660


Virginia Tech

26. Susanti, Dwi. Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 Methanogens are a group of microorganisms that utilize simple compounds such as H2 + CO2, acetate and methanol for the production of methane, an end-product… (more)

Subjects/Keywords: sulfite reductase; thioredoxin; Methanocaldococcus jannaschii; methanogens; oxidative stress; redox; regulation

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APA (6th Edition):

Susanti, D. (2013). Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51423

Chicago Manual of Style (16th Edition):

Susanti, Dwi. “Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea.” 2013. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/51423.

MLA Handbook (7th Edition):

Susanti, Dwi. “Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea.” 2013. Web. 07 Mar 2021.

Vancouver:

Susanti D. Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/51423.

Council of Science Editors:

Susanti D. Sulfite reductase and thioredoxin in oxidative stress responses of methanogenic archaea. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51423


Virginia Tech

27. Pratapa, Aditya. Algorithms for regulatory network inference and experiment planning in systems biology.

Degree: PhD, Computer Science and Applications, 2020, Virginia Tech

 A small number of key molecules can completely change the cell's state, for example, a stem cell differentiating into distinct types of blood cells or… (more)

Subjects/Keywords: network biology; experiment planning; gene regulatory networks; deep learning; single cell transcriptomics

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APA (6th Edition):

Pratapa, A. (2020). Algorithms for regulatory network inference and experiment planning in systems biology. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99378

Chicago Manual of Style (16th Edition):

Pratapa, Aditya. “Algorithms for regulatory network inference and experiment planning in systems biology.” 2020. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/99378.

MLA Handbook (7th Edition):

Pratapa, Aditya. “Algorithms for regulatory network inference and experiment planning in systems biology.” 2020. Web. 07 Mar 2021.

Vancouver:

Pratapa A. Algorithms for regulatory network inference and experiment planning in systems biology. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/99378.

Council of Science Editors:

Pratapa A. Algorithms for regulatory network inference and experiment planning in systems biology. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99378

28. Rahman, Md Ahsanur. Unstable Communities in Network Ensembles.

Degree: PhD, Computer Science and Applications, 2016, Virginia Tech

 Ensembles of graphs arise naturally in many applications, for example, the temporal evolution of social contacts or computer communications, tissue-specific protein interaction networks, annual citation… (more)

Subjects/Keywords: Computational Biology; Graph Mining; Network Theory; Unstable Community; Hypergraph; Hyperedge

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APA (6th Edition):

Rahman, M. A. (2016). Unstable Communities in Network Ensembles. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78290

Chicago Manual of Style (16th Edition):

Rahman, Md Ahsanur. “Unstable Communities in Network Ensembles.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/78290.

MLA Handbook (7th Edition):

Rahman, Md Ahsanur. “Unstable Communities in Network Ensembles.” 2016. Web. 07 Mar 2021.

Vancouver:

Rahman MA. Unstable Communities in Network Ensembles. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/78290.

Council of Science Editors:

Rahman MA. Unstable Communities in Network Ensembles. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78290


Virginia Tech

29. Gresock, Joseph Aaron. Finding Combinatorial Connections between Concepts in the Biomedical Literature.

Degree: MS, Computer Science, 2007, Virginia Tech

 There are now a multitude of articles published in a diversity of journals providing information about genes, proteins, pathways, and entire processes. Each article investigates… (more)

Subjects/Keywords: literature mining; Storytelling; stories

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APA (6th Edition):

Gresock, J. A. (2007). Finding Combinatorial Connections between Concepts in the Biomedical Literature. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32441

Chicago Manual of Style (16th Edition):

Gresock, Joseph Aaron. “Finding Combinatorial Connections between Concepts in the Biomedical Literature.” 2007. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/32441.

MLA Handbook (7th Edition):

Gresock, Joseph Aaron. “Finding Combinatorial Connections between Concepts in the Biomedical Literature.” 2007. Web. 07 Mar 2021.

Vancouver:

Gresock JA. Finding Combinatorial Connections between Concepts in the Biomedical Literature. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/32441.

Council of Science Editors:

Gresock JA. Finding Combinatorial Connections between Concepts in the Biomedical Literature. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/32441


Virginia Tech

30. Owens, Clifford Conley. Mining Truth Tables and Straddling Biclusters in Binary Datasets.

Degree: MS, Computer Science, 2009, Virginia Tech

 As the world swims deeper into a deluge of data, binary datasets relating objects to properties can be found in many different fields. Such datasets… (more)

Subjects/Keywords: data mining; binary datasets

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APA (6th Edition):

Owens, C. C. (2009). Mining Truth Tables and Straddling Biclusters in Binary Datasets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35745

Chicago Manual of Style (16th Edition):

Owens, Clifford Conley. “Mining Truth Tables and Straddling Biclusters in Binary Datasets.” 2009. Masters Thesis, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/35745.

MLA Handbook (7th Edition):

Owens, Clifford Conley. “Mining Truth Tables and Straddling Biclusters in Binary Datasets.” 2009. Web. 07 Mar 2021.

Vancouver:

Owens CC. Mining Truth Tables and Straddling Biclusters in Binary Datasets. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/35745.

Council of Science Editors:

Owens CC. Mining Truth Tables and Straddling Biclusters in Binary Datasets. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/35745

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