Back to search

Article

Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning Models

2021-04-12

Abstract excerpt

<h4>ABSTRACT</h4> The goal of precision oncology is to tailor treatment for patients individually using the genomic profile of their tumors. Pharmacogenomics datasets such as cancer cell lines are among the most valuable resources for drug sensitivity prediction, a crucial task of precision oncology. Machine learning methods have been employed to predict drug sensitivity based on the multiple omics data available...

Topics

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

Identifiers and source

Literature Corpus work
ab1303df-fca2-57fa-a422-d46909465f4f
DOI
10.1101/2021.04.09.439076
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.
Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning ModelsDOI 10.1101/2021.04.09.439076
Select a neighboring publication to make it the new centre.