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406 * !
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Wed, 8/5/2020,
1:00 PM -
2:50 PM
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Virtual
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Advances of Statistical Methodologies in Proteogenomics Research — Topic Contributed Papers
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Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistical Learning and Data Science
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Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
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Chair(s): Pei Wang, Icahn Medical School at Mount Sinai
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1:05 PM
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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
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1:25 PM
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Repulsive Mixtures for the Classification of Single Cells
Francesca Petralia, Icahn School of Medicine At Mount Sinai
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1:45 PM
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Extracting Biological Information from Extreme Values in Proteogenomics Data
Wenke Liu; Kelly Ruggles, NYU school of medicine; David Fenyo, NYU school of medicine
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2:05 PM
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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
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2:25 PM
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A New Molecular Signature Method for Prediction of Driver Cancer Pathways from Transcriptional Data
Boris Reva
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2:45 AM
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Floor Discussion
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