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You searched for +publisher:"University of Texas – Austin" +contributor:("Press, William H."). Showing records 1 – 11 of 11 total matches.

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University of Texas – Austin

1. -3562-6540. Learning and validating clinically meaningful phenotypes from electronic health data.

Degree: Computational Science, Engineering, and Mathematics, 2018, University of Texas – Austin

 The ever-growing adoption of electronic health records (EHR) to record patients' health journeys has resulted in vast amounts of heterogeneous, complex, and unwieldy information [Hripcsak… (more)

Subjects/Keywords: Computational phenotyping; Tensor factorization; Machine learning; Medical informatics; Model output validation

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APA (6th Edition):

-3562-6540. (2018). Learning and validating clinically meaningful phenotypes from electronic health data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/69179

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

Chicago Manual of Style (16th Edition):

-3562-6540. “Learning and validating clinically meaningful phenotypes from electronic health data.” 2018. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/69179.

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

MLA Handbook (7th Edition):

-3562-6540. “Learning and validating clinically meaningful phenotypes from electronic health data.” 2018. Web. 18 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3562-6540. Learning and validating clinically meaningful phenotypes from electronic health data. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/69179.

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

Council of Science Editors:

-3562-6540. Learning and validating clinically meaningful phenotypes from electronic health data. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/69179

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


University of Texas – Austin

2. Ramakrishnan, Smriti Rajan. A systems approach to computational protein identification.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Proteomics is the science of understanding the dynamic protein content of an organism's cells (its proteome), which is one of the largest current challenges in… (more)

Subjects/Keywords: Computational biology; Bioinformatics; Integrative statistical data analysis; Computational proteomics; Systems biology; Database indexing

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APA (6th Edition):

Ramakrishnan, S. R. (2010). A systems approach to computational protein identification. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-1036

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):

Ramakrishnan, Smriti Rajan. “A systems approach to computational protein identification.” 2010. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-1036.

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

MLA Handbook (7th Edition):

Ramakrishnan, Smriti Rajan. “A systems approach to computational protein identification.” 2010. Web. 18 Jul 2019.

Vancouver:

Ramakrishnan SR. A systems approach to computational protein identification. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1036.

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

Council of Science Editors:

Ramakrishnan SR. A systems approach to computational protein identification. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1036

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


University of Texas – Austin

3. Shahmoradi, Amir. Dissecting the relationship between protein structure and sequence evolution.

Degree: Physics, 2015, University of Texas – Austin

 What can protein structure tell us about protein evolutionary dynamics? Despite extensive variety in their native structures, from hyper-thermostable to intrinsically disordered, all proteins share… (more)

Subjects/Keywords: Biophysics; Evolutionary biology; Protein dynamics; Viral evolution

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APA (6th Edition):

Shahmoradi, A. (2015). Dissecting the relationship between protein structure and sequence evolution. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31639

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):

Shahmoradi, Amir. “Dissecting the relationship between protein structure and sequence evolution.” 2015. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/31639.

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

MLA Handbook (7th Edition):

Shahmoradi, Amir. “Dissecting the relationship between protein structure and sequence evolution.” 2015. Web. 18 Jul 2019.

Vancouver:

Shahmoradi A. Dissecting the relationship between protein structure and sequence evolution. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/31639.

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

Council of Science Editors:

Shahmoradi A. Dissecting the relationship between protein structure and sequence evolution. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31639

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


University of Texas – Austin

4. Lou, Dianne In-Hye. Strategies for deciphering the genome.

Degree: Cellular and Molecular Biology, 2014, University of Texas – Austin

 The development of highly sophisticated technologies has ushered in the era of the genome. Most importantly, high-throughput sequencing technologies has vastly expanded the number of… (more)

Subjects/Keywords: DNA repair; Evolution; High-throughput sequencing; Primates; HSV-1; Viruses

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APA (6th Edition):

Lou, D. I. (2014). Strategies for deciphering the genome. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33259

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):

Lou, Dianne In-Hye. “Strategies for deciphering the genome.” 2014. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/33259.

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

MLA Handbook (7th Edition):

Lou, Dianne In-Hye. “Strategies for deciphering the genome.” 2014. Web. 18 Jul 2019.

Vancouver:

Lou DI. Strategies for deciphering the genome. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/33259.

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

Council of Science Editors:

Lou DI. Strategies for deciphering the genome. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/33259

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


University of Texas – Austin

5. -7186-6405. Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

 Inference from high-dimensional noisy data, the task encountered in a wide range of applications including those in wireless communications and bioinformatics, is often computationally challenging.… (more)

Subjects/Keywords: Sparsity; Structures; Sphere decoding; Haplotype; Quasispecies; Clustering; Matrix factorization; Bioinformatics

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APA (6th Edition):

-7186-6405. (2017). Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61549

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

Chicago Manual of Style (16th Edition):

-7186-6405. “Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications.” 2017. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/61549.

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

MLA Handbook (7th Edition):

-7186-6405. “Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications.” 2017. Web. 18 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7186-6405. Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/61549.

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

Council of Science Editors:

-7186-6405. Algorithms for sparse and structurally constrained discrete optimization problems in bioinformatics and communications. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61549

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

6. Kirschenmann, Thomas Harold. A collection of Bayesian models of stochastic failure processes.

Degree: Computational Science, Engineering, and Mathematics, 2013, University of Texas – Austin

 Risk managers currently seek new advances in statistical methodology to better forecast and quantify uncertainty. This thesis comprises a collection of new Bayesian models and… (more)

Subjects/Keywords: Bayesian; Survival analysis; Stochastic processes; Gibbs; Polya; Quantile

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APA (6th Edition):

Kirschenmann, T. H. (2013). A collection of Bayesian models of stochastic failure processes. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21985

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):

Kirschenmann, Thomas Harold. “A collection of Bayesian models of stochastic failure processes.” 2013. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/21985.

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

MLA Handbook (7th Edition):

Kirschenmann, Thomas Harold. “A collection of Bayesian models of stochastic failure processes.” 2013. Web. 18 Jul 2019.

Vancouver:

Kirschenmann TH. A collection of Bayesian models of stochastic failure processes. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/21985.

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

Council of Science Editors:

Kirschenmann TH. A collection of Bayesian models of stochastic failure processes. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21985

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

7. Blom, Martin. Automated Prediction of Human Disease Genes.

Degree: Computational Science, Engineering, and Mathematics, 2012, University of Texas – Austin

 The completion of the human genome project has led to a flood of new genetic data, that has proved surprisingly hard to interpret. Network "guilt… (more)

Subjects/Keywords: Bioinformatics; Systems biology

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APA (6th Edition):

Blom, M. (2012). Automated Prediction of Human Disease Genes. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19529

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):

Blom, Martin. “Automated Prediction of Human Disease Genes.” 2012. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/19529.

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

MLA Handbook (7th Edition):

Blom, Martin. “Automated Prediction of Human Disease Genes.” 2012. Web. 18 Jul 2019.

Vancouver:

Blom M. Automated Prediction of Human Disease Genes. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/19529.

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

Council of Science Editors:

Blom M. Automated Prediction of Human Disease Genes. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19529

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

8. Hussmann, Jeffrey Alan. Expanding the applications of high-throughput DNA sequencing.

Degree: Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

 DNA sequencing is the process of determining the identities of the nucleotides that make up a molecule of DNA. The rapid pace of advancements in… (more)

Subjects/Keywords: DNA sequencing; Translation dynamics

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APA (6th Edition):

Hussmann, J. A. (2015). Expanding the applications of high-throughput DNA sequencing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31375

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):

Hussmann, Jeffrey Alan. “Expanding the applications of high-throughput DNA sequencing.” 2015. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/31375.

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

MLA Handbook (7th Edition):

Hussmann, Jeffrey Alan. “Expanding the applications of high-throughput DNA sequencing.” 2015. Web. 18 Jul 2019.

Vancouver:

Hussmann JA. Expanding the applications of high-throughput DNA sequencing. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/31375.

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

Council of Science Editors:

Hussmann JA. Expanding the applications of high-throughput DNA sequencing. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31375

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


University of Texas – Austin

9. Liu, Kevin Jensen. Fast and accurate estimation of large-scale phylogenetic alignments and trees.

Degree: Computer Sciences, 2011, University of Texas – Austin

 Phylogenetics is the study of evolutionary relationships. Phylogenetic trees and alignments play important roles in a wide range of biological research, including reconstruction of the… (more)

Subjects/Keywords: Computational phylogenetics; Multiple sequence alignment; Phylogeny; Treelength optimization problem; Simultaneous estimation; Biological datasets

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APA (6th Edition):

Liu, K. J. (2011). Fast and accurate estimation of large-scale phylogenetic alignments and trees. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3489

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):

Liu, Kevin Jensen. “Fast and accurate estimation of large-scale phylogenetic alignments and trees.” 2011. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3489.

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

MLA Handbook (7th Edition):

Liu, Kevin Jensen. “Fast and accurate estimation of large-scale phylogenetic alignments and trees.” 2011. Web. 18 Jul 2019.

Vancouver:

Liu KJ. Fast and accurate estimation of large-scale phylogenetic alignments and trees. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3489.

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

Council of Science Editors:

Liu KJ. Fast and accurate estimation of large-scale phylogenetic alignments and trees. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3489

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

10. Gold, Andrea Lynn. Modeling roadway incident risk using aggregated real-time detector data.

Degree: Statistics, 2015, University of Texas – Austin

 This report applies previously developed methodology from authors Abdel-Aty et. al. in a 2005 Institute of Transportation Engineers (ITE) Journal to predict roadway conditions with… (more)

Subjects/Keywords: Traffic data; Logistic regression

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APA (6th Edition):

Gold, A. L. (2015). Modeling roadway incident risk using aggregated real-time detector data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39219

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, Andrea Lynn. “Modeling roadway incident risk using aggregated real-time detector data.” 2015. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/39219.

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

MLA Handbook (7th Edition):

Gold, Andrea Lynn. “Modeling roadway incident risk using aggregated real-time detector data.” 2015. Web. 18 Jul 2019.

Vancouver:

Gold AL. Modeling roadway incident risk using aggregated real-time detector data. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/39219.

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

Council of Science Editors:

Gold AL. Modeling roadway incident risk using aggregated real-time detector data. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/39219

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

11. Wittig, Michael David. Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae.

Degree: Cellular and Molecular Biology, 2011, University of Texas – Austin

 It has been theorized that most proteins are under selection pressure to be soluble in crowded cellular spaces. To maintain solubility a proteins’ aggregation propensity… (more)

Subjects/Keywords: S.cerevisiae; Yeast; Whole genome duplication; Tango; Aggregation; Zyggregator; Edge theory

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

APA (6th Edition):

Wittig, M. D. (2011). Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-12-4528

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):

Wittig, Michael David. “Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae.” 2011. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/ETD-UT-2011-12-4528.

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

MLA Handbook (7th Edition):

Wittig, Michael David. “Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae.” 2011. Web. 18 Jul 2019.

Vancouver:

Wittig MD. Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4528.

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

Council of Science Editors:

Wittig MD. Search for selection pressures associated with aggregation propensity following whole genome duplication in S.cerevisiae. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-12-4528

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

.