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Activity Details
21 *
Sun, 8/7/2022,
2:00 PM -
3:50 PM
CC-203AB
Advances of Statistical Methodologies in Proteogenomic Research — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics, International Indian Statistical Association
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn school of Medicine at Mount Sinai
2:05 PM
Multilevel Modeling Accounts for Diverse Sources of Variation in Proteomic Experiments with Complex Designs
Olga Vitek, Northeastern University
2:25 PM
DAGBagM: Learning Directed Acyclic Graphs of Mixed Variables with an Application to Identify Protein Biomarkers for Treatment Response in Ovarian Cancer
Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai ; Ru Wang, University of California Davis; Jie Peng, University of California Davis; Pei Wang, Icahn school of Medicine at Mount Sinai
2:45 PM
BayesDeBulk: A Flexible Bayesian Algorithm for the Deconvolution of Bulk Tumor Data
Francesca Petralia, Icahn School of Medicine at Mount Sinai
3:05 PM
HID Machine: A Random Forest-Based High Order Interaction Discovery Method for High-Dimensional Genomic Data
Min Lu, University of miami ; Yifan Sha, University of Miami; Xi Steven Chen, University of miami
3:25 PM
Modeling Genomic and Proteomic Signals for the Early Detection of Cancer
Steven James Skates, Massachusetts General Hospital ; Yiling Liu, Massachusetts General Hospital; Wenqing Jiang, Boston University School of Public Health; Bethan Powell, Kaiser-Permanente Northern California; Scott Lenttz, Kaiser-Permanente Southern California
3:45 PM
Floor Discussion
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