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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

535 Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West Hall B
Contributed Poster Presentations: Section on Statistics in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics
Chair(s): Paul McNicholas, McMaster University
28: Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data
Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
29: SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Jin Szatkiewicz, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
31: Statistical Methods to Associate Intra-Tumor Heterogeneity with Clinical Outcomes
Paul Little, UNC Chapel Hill; Danyu Lin, University of North Carolina; Wei Sun, Fred Hutchinson Cancer Research Center
32: Harnessing Relatedness for Genotyping Autopolyploids
David Gerard, University of Chicago; Matthew Stephens, University of Chicago; Luis Felipe Ventorim Ferrão, University of Florida
33: Decomposing Pearson's Chi-Squared Test: a Linear Regression and Departure from Linearity
Hung-Chih Ku, DePaul University; Zhengyang Zhou, Southern Methodist University; Chao Xing, University of Texas Southwestern Medical Center
34: Secondary Data Analysis to Predict Therapeutic Outcome of Colorectal Cancer Patients
Hannah Monique Bredikhin, Purdue University; Jun Xie, Purdue University
35: Robust Kernel Association Test (RobKAT)
Kara Martinez, North Carolina State University
36: An Improved Estimator for Variance Components in Linear Mixed Model
Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington
37: BinQuasi: a Peak Detection Method for ChIP-Sequencing Data with Biological Replicates
Emily Goren, Iowa Sate University; Peng Liu, Iowa State University; Chao Wang, Iowa State University; Chong Wang, Iowa State University
38: TWO-SIGMA: a Two-Component Generalized Linear Mixed Model for ScRNA-Seq Association Analysis
Eric Van Buren, UNC Chapel Hill; Yun Li, University of North Carolina at Chapel Hill; Ming Hu, Cleveland Clinic Foundation; Di Wu, UNC Chapel HIll
39: Effects of Zeros on Analysis in the Microbiome Data
Amy Pan, Medical College of Wisconsin; Nita Salzman, Medical College of Wisconsin; T.Hang Nghiem-Rao, Medical College of Wisconsin; Martin Hessner, Medical College of Wisconsin; Pippa Simpson, Medical College of Wisconsin
40: Assessing Equivalent and Inverse Change in Genomic Data from Multiple Experiments: a New Approach to Functional Analysis
Jeffrey Thompson, The University of Kansas Medical Center
41: Testing Differential Gene Expression from Single-Cell RNA-Seq Data Using Bayes Deconvolusion
Jingyi Zhai, University of Michigan; Hui Jiang, University of Michigan
42: PwrEWAS: a Computationally Efficient Tool for Comprehensive Power Estimation in EWAS
Stefan Graw, University of Kansas Medical Center; Devin C Koestler, University of Kansas Medical Center
43: A Bayesian Framework for Assessing Concordance in Microbial Abundance with Respect to Grouping Variables
Richard Meier, University of Kansas Medical Center; Dominique Michaud, Tufts University School of Medicine; Devin C Koestler, University of Kansas Medical Center
44: Allele Specific Information in Mendelian Randomization
Xuran Wang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania; Dylan Small, University of Pennsylvania; Mingyao Li, University of Pennsylvania
45: Single Cell Data Mining of Live Cell Epigenetic Modifications
Chris Bryan
46: A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies
Xue Li, Capital One; Xinlei (Sherry) Wang, Southern Methodist University; Pankaj Choudhary, University of Texas at Dallas; Swati Biswas, University of Texas at Dallas
47: Statistical Inference for Proteomics Data with Missing Peptide Concentrations
Hyeongseon Jeon; Dan Nettleton, Iowa State University
49: Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS
Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale
50: A Bayesian Hierarchical Model for Gene Set Enrichment Analysis
Abhay Hukku; Xiaoquan William Wen, University of Michigan; Corbin Quick, University of Michigan
51: Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments
Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health
52: Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution
Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia
53: A Hierarchical, Multiple-Testing Framework for High-Dimensional Data Analysis and Application to Flow Cytometry
John Pura
55: Integrative Analysis of Actively Identified Pathways from Multi-Modal Omics Data
Pei-Li Wang, University of Florida; George Michailidis, University of Florida
56: Expansion of a stochastic model for assessing CT reinfection risk
Kristin Olson, University of Alabama at Birmingham; William Geisler, University of Alabama at Birmingham; Hemant Tiwari, University of Alabama at Birmingham
57: Cross Platform Normalization Method Using Matched Sample
Serin Zhang, Florida State University; Jinfeng Zhang, Florida State University; Jiang Shao, Florida State University; Xing Qiu, University of Rochester
58: Modeling Missingness to Reduce Bias in Single-Cell DNA Methylation Data
Divy Kangeyan, Harvard University; Martin Aryee, Harvard University
59: Integration of Simultaneous Group Effects in MiRNA and Targeted Gene Sets in Ovarian Cancer
Wenjun He, Dept. Biostatistics, Univ. at Buffalo; Ravikumar Muthuswamy, Center for Immunotherapy, Roswell Park Comprehensive Cancer Center; Daniel Gaile, Dept. of Biostatistics, University at Buffalo; Kevin Eng, Roswell Park Comprehensive Cancer Center
60: Assessing Reproducibility in Genome Wide Association Studies
Dan McGuire, Penn State College of Medicine
61: Measure gene - gene dependence using Kullback-Leibler Divergence
Guanjie Chen, Center for Research on Genomics and Global Health, NHGRI, NIH
62: Bayesian Nonparametric Regressions Regarding Correlated Regions and Its Application for Differentially Methylated Regions
Suvo Chatterjee, Northern Illinois University; Duchwan Ryu, Northern Illinois University; Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai