@inproceedings{9b08a5d5e4ae490a9830460750a18e4d,
title = "Cancer based pharmacogenomics network for drug repurposing",
abstract = "Pharmacogenomics (PGx) as an emerging field, is poised to change the way we practice medicine and deliver health care by customizing drug therapies on the basis of each patient{\textquoteright}s genetic makeup. A large volume of PGx data including information on relationships among drugs, genes, and single nucleotide polymorphisms (SNPs) has been accumulated. Normalized and integrated PGx information could facilitate revelation of hidden relationships among drug treatments, genomic variations, and phenotype traits to better support drug discovery and next generation of treatment. In this study, we constructed a normalized cancer based PGx network (CPN) by integrating cancer orientated PGx information from multiple well known PGx resources including the Pharmacogenomics Knowledge Base (PharmGKB), the FDA Pharmacogenomic Biomarkers in Drug Labeling, and the Catalog of Published Genome-Wide Association Studies. The ultimate goal of the CPN is to provide comprehensive cancer specific PGx information to support oncology related research, including cancer based drug discovery – drug repurposing. We have successfully demonstrated the capability of the CPN for drug repurposing by conducting two case studies.",
keywords = "Cancer, Drug repurposing, Network, Pharmacogenomics",
author = "Liwei Wang and Hongfang Liu and Chute, {Christopher G.} and Qian Zhu",
note = "Funding Information: This work was supported by the Pharmacogenomic Research Network (NIH/NIGMS-U19 GM61388). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014 ; Conference date: 13-05-2014 Through 16-05-2014",
year = "2014",
doi = "10.1007/978-3-319-13186-3_57",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "639--651",
editor = "Wen-Chih Peng and Haixun Wang and Zhi-Hua Zhou and Ho, {Tu Bao} and Tseng, {Vincent S.} and Chen, {Arbee L.P.} and James Bailey",
booktitle = "Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops",
}