Back to search

Article

Kernel multitask regression for toxicogenetics

2017-08-01

Abstract excerpt

The development of high-throughput in vitro assays to study quantitatively the toxicity of chemical compounds on genetically characterized human-derived cell lines paves the way to predictive toxicogenetics , where one would be able to predict the toxicity of any particular compound on any particular individual. In this paper we present a machine learning-based approach for that purpose, kernel multitask regress...

Topics

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

Identifiers and source

Literature Corpus work
aef704d8-1484-5c65-98f0-ac61f5506396
DOI
10.1101/171298
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.
Kernel multitask regression for toxicogeneticsDOI 10.1101/171298
Select a neighboring publication to make it the new centre.