📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

KDML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screens (2019)

First Author: Sailem H

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/761106

Publication URI: http://dx.doi.org/10.1101/761106

Type: Preprint