Back to search

Article

A robust gene expression signature to predict proteasome inhibitor benefit in Multiple Myeloma

2019-12-19

Abstract excerpt

Many cancer drugs only benefit a subset of the patients that receive them, but are often associated with serious side effects. Predictive classification methods that can identify which patients will benefit from a specific treatment are therefore of great clinical utility. We here introduce a novel machine learning method to identify predictive gene expression signatures, based on the idea that patients who receiv...

Topics

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

Identifiers and source

Literature Corpus work
f9c2f673-1fa5-5643-849a-5ee55cbeeeb4
DOI
10.1101/2019.12.16.19015024
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.
A robust gene expression signature to predict proteasome inhibitor benefit in Multiple MyelomaDOI 10.1101/2019.12.16.19015024
Select a neighboring publication to make it the new centre.