Greg Finak

The paper applies a flow cytometry analysis tool to CITE-seq data to identify protein-based cell phenotypes linked to critical COVID-19 severity.

FAUST is a new interpretable machine learning method for single-cell cytometry that discovers and validates T cell correlates of response to anti-PD-1 immunotherapy.

The paper introduces a statistical framework to analyze single-cell RNA-seq data by modeling bimodality and characterizing transcriptional changes and heterogeneity.

The paper models bi-modality in single-cell gene expression to improve characterization of cell cycle effects and finds the cell cycle explains 5%-17% of expression variability.