Article
CSAX: Characterizing Systematic Anomalies in eXpression Data.
Journal of computational biology : a journal of computational molecular cell biology - 1 May 2015
Noto Keith, Majidi Saeed, Edlow Andrea G, Wick Heather C, Bianchi Diana W, Slonim Donna K
Abstract excerpt
Methods for translating gene expression signatures into clinically relevant information have typically relied upon having many samples from patients with similar molecular phenotypes. Here, we address the question of what can be done when it is relatively easy to obtain healthy patient samples, but when abnormalities corresponding to disease states may be rare and one-of-a-kind. The associated computational...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
