lipidomics — 2019 — U-HACK MED

Team 12: Rapid evaluation of statistical strategies for predicting interactions and information transfer between proteins

Rapidly organize, statistically describe, and filter data and evaluate the performance of alternative models for phylogenetic correction on a gold-standard test set of protein interaction data.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centermachine learning, liver disease, clinical staging, lipidomics, UT Southwestern Medical Center, u-hack med, Lyda Hill Department of Bioinformatics, hackathon, molecular genetics, jeffrey mcdonald

2019 TEAMS