Back to search

Article

Gene expression has more power for predicting <i>in vitro</i> cancer cell vulnerabilities than genomics

2020-02-24

Abstract excerpt

Achieving precision oncology requires accurate identification of targetable cancer vulnerabilities in patients. Generally, genomic features are regarded as the state-of-the-art method for stratifying patients for targeted therapies. In this work, we conduct the first rigorous comparison of DNA- and expression-based predictive models for viability across five datasets encompassing chemical and genetic perturbations...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7c9ad32f-3a07-5ae6-9103-4a520e7a5a1c
DOI
10.1101/2020.02.21.959627
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Gene expression has more power for predicting <i>in vitro</i> cancer cell vulnerabilities than genomicsDOI 10.1101/2020.02.21.959627
Select a neighboring publication to make it the new centre.