Back to search

Article

Large-Scale Labeling and Assessment of Sex Bias in Publicly Available Expression Data

2020-10-27

Abstract excerpt

<h4>ABSTRACT</h4> Women are at more than 1.5-fold higher risk for clinically relevant adverse drug events. While this higher prevalence is partially due to gender-related effects, biological sex differences likely also impact drug response. Publicly available gene expression databases provide a unique opportunity for examining drug response at a cellular level. However, missingness and heterogeneity of metadata p...

Topics

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

Identifiers and source

Literature Corpus work
c3b44ed9-9d39-5d15-97bd-2aeaa151ab2c
DOI
10.1101/2020.10.26.356287
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.
Large-Scale Labeling and Assessment of Sex Bias in Publicly Available Expression DataDOI 10.1101/2020.10.26.356287
Select a neighboring publication to make it the new centre.