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

Activity Details

85 Sun, 7/29/2018, 5:05 PM - 5:50 PM CC-West Hall B
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1: Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2: On Using Gene Genealogies to Find Trait-Influencing Variants
Payman Nickchi, Simon Fraser University; Jinko Graham, Simon Fraser University
3: A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
4: A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan; Anne YuhPey Buu, University of Michigan
5: A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
6: Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data
Anna Reisetter
7: An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis
Yeonil Kim, University of Florida; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
8: MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
9: A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
10: A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing
Julian Hecker, Harvard T.H. Chan School of Public Health; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
11: P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
12: Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Yun Zhang, University of Rochester; Xing Qiu, University of Rochester
13: Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
14: An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan
16: Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
17: Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
18: Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
19: Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
20: A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun