2 papers
cs.LG2026
Flexible Kernels for Protein Property Prediction
Martin Jankowiak, Yerdos Ordabayev, Rudraksh Tuwani +4
Despite its importance to applications in protein design, predicting protein properties like binding affinity and thermostability from sparse experimental data remains a significan…
q-bio.QM2021
Sparse dictionary learning recovers pleiotropy from human cell fitness screens
Joshua Pan, Jason J. Kwon, Jessica A. Talamas +7
In high-throughput functional genomic screens, each gene product is commonly assumed to exhibit a singular biological function within a defined protein complex or pathway. In pract…