Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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209	Tue, 8/10/2021, 1:30 PM - 3:20 PM		Virtual
Statistical methods for genomic and epigenetic data analysis — Contributed Speed
Section on Statistics in Genomics and Genetics
Chair(s): Daniel Conn, University of Wisconsin-Madison

1:35 PM	A Method for Subtype Analysis with Somatic Mutations Meiling Liu, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Michael C Wu, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center; Qianchuan He, Fred Hutchinson Cancer Research Center
1:40 PM	Genomic Prediction Enhanced Sparse Testing for Multi-Environment Trials Reka Howard, University of Nebraska - Lincoln; Diego Jarquin, University of Nebraska - Lincoln; Jose Crossa, CIMMYT
1:45 PM	Integrative Modeling of Massive Multiple-Domain Cancer Genomics Data Sets Dongyan Yan, Eli Lilly and Company
1:50 PM	A Joint Approach to Screening High-Dimensional Meditators in Epigenetic Data with Repeated Outcomes Lu Xie, University of Memphis; Hongmei Zhang, University of Memphis; Meredith Ray, University of Memphis; Cen Wu, Kansas State University; Yu Jiang, University of Memphis
1:55 PM	Association Test Using Copy Number Profile Curves (CONCUR) Enhances Power in Rare Copy Number Variant Analysis Amanda Brucker, Duke University; Jung-Ying Tzeng, North Carolina State University; Wenbin Lu, North Carolina State University; Rachel Marceau West, North Carolina State University; Qi-You Yu, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University; Tzu-Hung Hsiao, Taichung Veterans General Hospital; Ching-Heng Lin, Taichung Veterans General Hospital; Patrik K. E. Magnusson, Karolinska Institutet; Patrick F Sullivan, University of North Carolina at Chapel Hill; Jin P. Szatkiewicz, University of North Carolina at Chapel Hill; Tzu-Pin Lu, National Taiwan University
2:00 PM	Detecting Cell-Type-Specific Mediation Effect in DNA Methylation Data Andrea Lane, Emory University; Hao Wu, Emory University
2:05 PM	A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures Shelby Bell-Glenn, Univerisity of Kansas Medical Center Department of Biostatistics and Data Science; Devin C Koestler, University of Kansas Medical Center
2:10 PM	Integrating Genomic Correlation Structure Improves Copy Number Variations Detection Xizhi Luo, University of South Carolina; Fei Qin, University of South Carolina; Guoshuai Cai, University of South Carolina; Feifei Xiao, University of South Carolina
2:15 PM	Integrating SNP Data and Imputation Methods into the DNA Methylation Analysis Framework Yuqing Su, Missouri University of Science and Technology; Gayla Olbricht, Missouri University of Science and Technology
2:20 PM	Genetic Correlation Between Major Depression and Objectively Assessed Sleep Features in a Community Cohort from Lausanne, Switzerland Wei Guo, National Institutes of Health; Sun J Kang, National Institutes of Health; Giorgio Pistis, Lausanne University Hospital and University of Lausanne ; Lihong Cui, NIMH; Andrew Leroux, University of Colorado Anschutz Medical Campus; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Martin Preisig, University Hospital of Lausanne; Kathleen Merikangas, National Institute of Mental Health
2:30 PM	Statistical Modeling and Analysis of Human DNA Methylation Data to Detect Differential Methylation in Osteosarcoma Sujay Datta, University of Akron
2:35 PM	Multi-Omics Data Integration Using a Supervised Cox Multiblock PLS (Cox-SMBPLS) Model Incorporating Prior Biological Information Nasim Vahabi, University of Florida; George Michailidis, U Florida; Julio Duarte, University of Florida
2:40 PM	Evaluating Dimensionality Reduction for Genomic Prediction Vamsi Manthena, University of Nebraska - Lincoln; Rajeev K Varshney, Center of Excellence in Genomics & Systems Biology; Diego Jarquin, University of Nebraska - Lincoln; Reka Howard, University of Nebraska - Lincoln
2:45 PM	A Robust Analysis of Linear Methods for Phenotype Prediction Megan Duff, University of Colorado Denver
2:50 PM	Hidden Markov Models with Block-Wise Mixtures as Emission Distributions Ruijin Lu, National Institutes of Health; Zhen Chen, NICHD/NIH
2:55 PM	Combining Multiple Biomarkers Linearly to Minimize the Euclidean Distance of the Closest Point on the ROC Surface to the Perfection Corner in Trichotomous Settings Brian R Mosier, University of Kansas Medical Center; Leonidas E Bantis, University of Kansas Medical Center
3:00 PM	Inferences for the Correct Classification Fractions of a Continuous Biomarker in Trichotomous Settings with an Application to Patients with Hepatocellular Carcinoma Peng Shi, University of Kansas Medical Center; Leonidas E Bantis, University of Kansas Medical Center
3:05 PM	CliP: subclonal architecture reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model Yujie Jiang, The University of Texas MD Anderson Cancer Center & Rice University
3:10 PM	Floor Discussion

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