KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screens

KCML is an intelligent system that allow inference of systematic Inference of multi-scale gene funcitons from genetic screens. It annotate genes with GO terms based on phenotypic similarity. As these annotations are data driven they provide more tissue type-specific gene funcitons.