Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes.
Predicting the clinical outcome of cancer patients based on the expression of marker genes in their tumors has received increasing interest in the past decade. Accurate predictors of outcome and response to therapy could be used to personalize and thereby improve therapy. However, state of the art m...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
|
Series: | PLoS Computational Biology |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22615549/pdf/?tool=EBI |