Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
Tan, Chee Seng
Xiang, Joy Shengnan
Mu, Yar Soe
Chin, Lee Soo
Soo, Ross A.
Yong, Wei Peng
Date of Issue2018
School of Computer Science and Engineering
Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to gemcitabine-based chemotherapy treatment outcome in Singaporean non-small cell lung cancer (NSCLC) patients.
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