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
2:05 PM	A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures
2:10 PM	Integrating Genomic Correlation Structure Improves Copy Number Variations Detection
2:15 PM	Integrating SNP Data and Imputation Methods into the DNA Methylation Analysis Framework
2:20 PM	Genetic Correlation Between Major Depression and Objectively Assessed Sleep Features in a Community Cohort from Lausanne, Switzerland
2:30 PM	Statistical Modeling and Analysis of Human DNA Methylation Data to Detect Differential Methylation in Osteosarcoma
2:35 PM	Multi-Omics Data Integration Using a Supervised Cox Multiblock PLS (Cox-SMBPLS) Model Incorporating Prior Biological Information
2:40 PM	Evaluating Dimensionality Reduction for Genomic Prediction
2:45 PM	A Robust Analysis of Linear Methods for Phenotype Prediction
2:50 PM	Hidden Markov Models with Block-Wise Mixtures as Emission Distributions
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
3:00 PM	Inferences for the Correct Classification Fractions of a Continuous Biomarker in Trichotomous Settings with an Application to Patients with Hepatocellular Carcinoma
3:05 PM	CliP: subclonal architecture reconstruction of cancer cells in DNA sequencing data using a penalized likelihood model
3:10 PM	Floor Discussion

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