Inferring pathway activity toward precise disease classification.
The advent of microarray technology has made it possible to classify disease states based on gene expression profiles of patients. Typically, marker genes are selected by measuring the power of their expression profiles to discriminate among patients of different disease states. However, expression-...
Saved in:
| Main Authors: | Eunjung Lee, Han-Yu Chuang, Jong-Won Kim, Trey Ideker, Doheon Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-11-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000217&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Topologically inferring active miRNA‐mediated subpathways toward precise cancer classification by directed random walk
by: Ziyu Ning, et al.
Published: (2019-10-01) -
Genome-wide fitness and expression profiling implicate Mga2 in adaptation to hydrogen peroxide.
by: Ryan Kelley, et al.
Published: (2009-05-01) -
Differential network biology
by: Trey Ideker, et al.
Published: (2012-01-01) -
Artificial Intelligence-Powered Insights into Polyclonality and Tumor Evolution
by: Hong Zhao, et al.
Published: (2025-01-01) -
An Industrial Add-On for Precision Die-Centering in Catheter Extrusion Using Visual Servoing
by: Han Chang Lee, et al.
Published: (2025-01-01)