TA4b: Information, Learning, and Genomics
Tue, 27 Oct, 10:15 - 11:55 PT (UTC -7)
Location: Room 4
Session Type: Lecture
Session Co-Chairs: Marco Mondelli, Institute of Science and Technology Austria (ISTA), Austria and Matthew Robinson, Institute of Science and Technology Austria (ISTA), Austria
Track: Adaptive Systems, Machine Learning, and Data Analytics
Tue, 27 Oct, 10:15 - 10:40 PT (UTC -7)

TA4b.1: Motif-preserving graph diffusion for small molecule drug design
Peizhi Niu, Shane Wang, Olgica Milenkovic, University of Illinois, Urbana-Champaign, United States
Tue, 27 Oct, 10:40 - 11:05 PT (UTC -7)

TA4b.2: SiGhS: A Statistical Method to Determine Significance of Biological Graph Differences
Whitney Sloneker, Brown University, United States; Lorin Crawford, Microsoft, Brown University, United States; Ritambhara Singh, Brown University, United States
Tue, 27 Oct, 11:05 - 11:30 PT (UTC -7)

TA4b.3: One-hot encoding captures non-linear genetic effects for plasma protein abundance
Kevin Kogler, Jakub Bajzik, Matthew Robinson, Marco Mondelli, Institute of Science and Technology Austria (ISTA), Austria
Tue, 27 Oct, 11:30 - 11:55 PT (UTC -7)

TA4b.4: Learning Population History from Genomic Data
Aditya Ravi, Joseph Liu, James O'Dwyer, Ilan Shomorony, University of Illinois Urbana-Champaign, United States