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406 * ! Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Advances of Statistical Methodologies in Proteogenomics Research — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn Medical School at Mount Sinai
1:05 PM Statistical Characterization of Quantitative Changes in Global Post-Translational Modification Profiling Experiments
Tsung-Heng Tsai, Kent State University; Erik Verschueren, Genentech, Inc.; Olga Vitek, Northeastern University
1:25 PM Repulsive Mixtures for the Classification of Single Cells
Francesca Petralia, Icahn School of Medicine At Mount Sinai
1:45 PM Extracting Biological Information from Extreme Values in Proteogenomics Data
Wenke Liu; Kelly Ruggles, NYU school of medicine; David Fenyo, NYU school of medicine
2:05 PM Sparse Multiple Co-Inertia Analysis with Application to Integrative Analysis of Multi -Omics Data
Eun Jeong Min, Univerisity of Pennsylvania; Qi Long, University of Pennsylvania
2:25 PM A New Molecular Signature Method for Prediction of Driver Cancer Pathways from Transcriptional Data
Boris Reva
2:45 AM Floor Discussion