Use of gene expression profiling and machine learning to understand and predict primary graft dysfunction

Authors

Monika Ray, Washington University in St Louis
Sekhar Dharmarajan, Washington University in St Louis
Johannes Freudenberg, Washington University in St Louis
Weixiong Zhang, Washington University in St. LouisFollow
Alexander G. Patterson

Document Type

Technical Report

Department

Computer Science and Engineering

Publication Date

2006-01-01

Filename

wucse-2006-60.pdf

Technical Report Number

WUCSE-2006-60

Comments

Permanent URL: http://dx.doi.org/10.7936/K7PN93W9

Recommended Citation

Ray, Monika; Dharmarajan, Sekhar; Freudenberg, Johannes; Zhang, Weixiong; and Patterson, Alexander G., "Use of gene expression profiling and machine learning to understand and predict primary graft dysfunction" Report Number: WUCSE-2006-60 (2006). All Computer Science and Engineering Research.
https://openscholarship.wustl.edu/cse_research/212