Finding effective subnetwork markers for cancer by passing messages Conference Paper

abstract

• It is generally difficult to predict cancer outcome based on individual genes, and recent research results have shown that the use of pathway or subnetwork markers can improve the accuracy and reliability of such prediction. In this work, we propose a novel method for identifying subnetwork markers that can accurately predict cancer metastasis. The proposed method takes an efficient message passing approach to search for non-overlapping subnetwork markers in the human protein interaction network. Experimental results show that this method can identify robust subnetwork markers that may lead to enhanced cancer classifiers. 2011 IEEE.

authors

• Yoon, Byung-Jun

published proceedings

• Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics

author list (cited authors)

• Yoon, B. J.

complete list of authors

• Yoon, BJ

publication date

• December 2011

published in

• IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics  Journal

International Standard Book Number (ISBN) 13

• 9781467304900

start page

• 95

end page

• 96