Article

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

2019-09-08

Abstract excerpt

Characterising context-dependent gene functions is crucial for understanding the genetic bases of health and disease. To date, inference of gene functions from large-scale genetic perturbation screens is based on ad-hoc analysis pipelines involving unsupervised clustering and functional enrichment. We present Knowledge-Driven Machine Learning (KDML), a framework that systematically predicts multiple functions for...

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Literature Corpus work: 109e2ac3-0308-5161-86e0-f311c64d459c
DOI: 10.1101/761106

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