Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-00727-9_20
Title: Deciphering drug action and escape pathways: An example on nasopharyngeal carcinoma
Authors: Difeng, D. 
Chun-Ying, C.
Benjamin, M.
Limsoon, W. 
Keywords: CYC202
Drug pathway
Gene expression
NPC
Issue Date: 2009
Source: Difeng, D.,Chun-Ying, C.,Benjamin, M.,Limsoon, W. (2009). Deciphering drug action and escape pathways: An example on nasopharyngeal carcinoma. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5462 LNBI : 199-210. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-00727-9_20
Abstract: We have designed a drug pathway identification system,which we called Drug Pathway Decipherer, to generate hypotheses on drug treatment responsive pathway. Decipherer takes in both pre- and posttreatment gene expression data, and evaluates known biological pathways against the data. We applied Decipherer to two gene expression datasets of human nasopharyngeal carcinoma treated with CYC202. Results show that the identified RAS-ERK pathway and PI3K-NF?B-IAP pathway are closely associated with treatment outcome. Decipherer is implemented in Java, and it is available together with supplementary material at http://www.comp.nus.edu.sg/~wongls/projects/drug-pathway. © Springer-Verlag Berlin Heidelberg 2009.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40083
ISBN: 3642007260
ISSN: 03029743
DOI: 10.1007/978-3-642-00727-9_20
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