Multi-modal quantification of pathway activity with MAYA

MAYA is a computational method for single-cell data that detects distinct pathway activation patterns across cell types, rather than a single average score. It is robust to noise and batch effects, can predict cell types from marker genes, and helps identify shared tumor vulnerabilities across patients