Peter Canoll

This paper introduces scHPF, a Bayesian method for discovering gene signatures from scRNA-seq without prior normalization, and finds spatially biased expression patterns in glioma regions linked to poor survival.

The paper introduces the ENDURES consortium to study extreme survivors of glioblastoma by integrating clinical data and creating patient-specific tumor models.

The paper introduces metaVIPER, an algorithm to assess protein activity in orphan tissues and single cells by integrating multiple non-tissue-matched interactomes, improving reproducibility of protein-activity signatures.