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2.
Positive-Unlabeled Learning in the Context of Protein Function Prediction
by Youngs, Noah, Ph.D.  New York University. 2014: 160 pages; 3665223.
3.
Integration of Cancer-Related Mutations for Pan-Cancer Analysis
by Wu, Tsung-Jung, M.S.  The George Washington University. 2014: 45 pages; 1556905.
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A Framework for Building Lightweight Ontologies Based on Semi-Structured Data for Semantic Annotation
by Ali, Elshaimaa Elsayed, Ph.D.  University of Louisiana at Lafayette. 2015: 147 pages; 10188059.
6.
Paradigms of evaluation in natural language processing: Field linguistics for glass box testing
by Cohen, Kevin Bretonnel, Ph.D.  University of Colorado at Boulder. 2010: 175 pages; 3404044.
7.
Genome-wide analysis of splicing requirements and function through mRNA profiling
by Heimiller, Joseph Karl, Ph.D.  University of Colorado at Boulder. 2013: 112 pages; 3607314.
9.
Using text mining techniques to gather gene-specific information from the biomedical literature
by Tudor, Catalina O., Ph.D.  University of Delaware. 2011: 162 pages; 3473710.
11.
Molecular targets of chromatin marks H3K4me3, H3K9me3 and H3K27me3 in an adult germinal niche
by Rhodes, Christopher, M.S.  The University of Texas at San Antonio. 2014: 64 pages; 1556578.
12.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
13.
A Motif Discovery and Analysis Pipeline for Heterogeneous Next-Generation Sequencing Data
by Ramsay, Trevor, M.S.  University of California, Davis. 2015: 72 pages; 1599520.
14.
Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD
by Desai, Anna Maria, Ph.D.  University of California, Berkeley. 2017: 80 pages; 10688411.
16.
A web semantic for SBML merge
by Thavappiragasam, Mathialakan, M.S.  University of South Dakota. 2014: 86 pages; 1566784.
17.
Genome architecture in the fungal kingdom
by Martinez, Diego Antonio, Ph.D.  The University of New Mexico. 2010: 184 pages; 3409381.
20.
Deciphering human gene regulation using computational and statistical methods
by Guturu, Harendra, Ph.D.  Stanford University. 2014: 192 pages; 3581147.
21.
Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
22.
Structure prediction and visualization in molecular biology
by Poultney, Christopher S., Ph.D.  New York University. 2010: 131 pages; 3408352.
23.
Interpreting the Temporal Aspects of Language
by UzZaman, Naushad, Ph.D.  University of Rochester. 2012: 221 pages; 3543329.
24.
Computational Study of Gene Regulatory Networks in Immune System
by Zeng, Zhouhao, Ph.D.  The George Washington University. 2018: 153 pages; 10785578.
25.
Applying Evolutionary Computation and Ensemble Approaches to Protein Contact Map and Protein Function Determination
by Chapman, Samuel D., Ph.D.  North Carolina Agricultural and Technical State University. 2016: 153 pages; 10191042.
26.
Data-mart integration of the proteome
by Vyas, Jay, Ph.D.  University of Connecticut. 2012: 114 pages; 3510543.
27.
The Molecular Mechanisms of Sex Determination in Vertebrates
by Guo, Lei, Ph.D.  The University of North Dakota. 2017: 174 pages; 10274673.
29.
The hetnet awakens: understanding complex diseases through data integration and open science
by Himmelstein, Daniel S., Ph.D.  University of California, San Francisco. 2016: 120 pages; 10133408.
30.
Genomic analysis of a major seed protein/oil QTL region on soybean linkage group I
by Joseph, Bindu, Ph.D.  Iowa State University. 2009: 147 pages; 3360419.
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