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1.
Computational approaches to study the relation between genomic variations and phenotypes
by Huang, Hailiang, Ph.D.  The Johns Hopkins University. 2012: 212 pages; 3528554.
2.
New approaches to multiple testing of grouped hypotheses
by Liu, Yanping, Ph.D.  Temple University. 2016: 98 pages; 10111313.
4.
General methods for adaptive control and estimation of false discovery rate
by Chen, Xiongzhi, Ph.D.  Purdue University. 2012: 149 pages; 3556181.
6.
New step down procedures for control of the familywise error rate
by Yang, Zijiang, Ph.D.  Temple University. 2008: 91 pages; 3337241.
7.
Some Statistical Methods on Design, Modeling and Analysis of High-Dimensional Data
by Shang, Shulian, Ph.D.  New York University. 2012: 120 pages; 3524267.
8.
gibbSeq: A new Bayesian method for multiple comparisons for RNA-seq data
by Acheampong, Daniel Asare, M.S.  New Mexico Institute of Mining and Technology. 2017: 77 pages; 10264015.
10.
A new method for genetic network reconstruction in expression QTL data sets
by Duarte, Christine W., Ph.D.  North Carolina State University. 2009: 84 pages; 3395300.
11.
A statistical method for detection of small-study effects in meta-analyses of randomized controlled trials
by Bucci, Jay Robert, Ph.D.  The University of Texas Health Science Center at San Antonio. 2015: 267 pages; 10137622.
13.
Statistical problems in DNA microarray data analysis
by Wang, Nancy Naichao, Ph.D.  University of California, Berkeley. 2009: 166 pages; 3402692.
14.
The human serum glycan cancer biomarker analysis pipeline
by Kronewitter, Scott Ryan, Ph.D.  University of California, Davis. 2010: 209 pages; 3404959.
15.
Big Data Approaches to Decipher Non-coding Cancer Driver Mutations
by Liu, Minwei, Ph.D.  Weill Medical College of Cornell University. 2019: 296 pages; 13902177.
16.
Advanced natural language processing and temporal mining for clinical discovery
by Mehrabi, Saeed, Ph.D.  Indiana University - Purdue University Indianapolis. 2016: 109 pages; 10032405.
17.
A Theory of False Cognitive Expectancies in Airline Pilots
by Cortes, Antonio I., Ph.D.  Northcentral University. 2011: 232 pages; 3492476.
18.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
19.
Effects of Weapon Focus on True and False Recall of Emotional Words
by Welliver, Jennifer Moore, M.S.  University of Louisiana at Lafayette. 2015: 101 pages; 1593271.
20.
Application and Development of Computational Tools in Drug Discovery
by Balius, Trent Erik, Ph.D.  State University of New York at Stony Brook. 2012: 190 pages; 3521714.
21.
The economics of pretrial discovery: Theory, empirical analysis, and historical impact
by Shepherd, George B., Ph.D.  Stanford University. 2009: 207 pages; 3382952.
22.
Thwarting malicious and selfish behavior in commodity Wi -Fi networks
by Ma, Liran, D.Sc.  The George Washington University. 2008: 123 pages; 3320933.
23.
Genetic Architecture of Domestication and other Complex Traits in Maize
by Xue, Shang, Ph.D.  North Carolina State University. 2017: 217 pages; 10708419.
24.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
25.
Spectral Library Construction and Matching of MS/MS Spectra at Repository Scales
by Wang, Mingxun, Ph.D.  University of California, San Diego. 2017: 137 pages; 10284805.
26.
Thermographic Image Analysis as a Pre-Screening Tool for the Detection of Canine Bone Cancer
by Subedi, Samrat, M.S.  Southern Illinois University at Edwardsville. 2014: 131 pages; 1583211.
27.
Architecture and protocols for a high-performance, secure IEEE 802.11-based wireless mesh network
by Raniwala, Ashish, Ph.D.  State University of New York at Stony Brook. 2009: 215 pages; 3401726.
28.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
29.
Bioinformatic Strategies to Understand the Complexities of Medicinal Natural Product Mixtures
by Caesar, Lindsay K., Ph.D.  The University of North Carolina at Greensboro. 2019: 301 pages; 13807913.
30.
Signal processing methods for brain connectivity
by Wheland, David Stanford, Ph.D.  University of Southern California. 2013: 158 pages; 3610033.
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