Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer

Ricardo De Matos Simoes, Constantine Mitsiades, Kathleen Williamson, Frank Emmert-Streib

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fingerprint

Dive into the research topics of 'Network signatures based on gene pair expression ratios improve classification and the analysis of muscle-invasive urothelial cancer'. Together they form a unique fingerprint.

Medicine & Life Sciences

Engineering & Materials Science