@inproceedings{d2f82a25469246d99089806e6a84ff79,
title = "Constructing a compound Mode-of-Action network for personalized drug effectiveness prediction",
abstract = "The problem of large scale computational drug screening is considered in this paper. A new concept of Mode-of-Action (MoA) network, or MoNet, is introduced to model the relationship of therapeutic effectiveness between different drugs. A new algorithm for constructing Mode-of-Action groups and subsequently MoNet based on gene expression profile of drug treatment is proposed. The algorithm has been applied to the data from the Connectivity Map (cMap) project and a cMap MoNet was obtained. A new drug effectiveness prediction algorithm based on MoNet is also developed and applied to an independent breast cancer data set. The prediction result shows improvement in precision over cMap.",
keywords = "Connectivity map, Drug effectiveness prediction, MoA networks, Mode of Action (MoA)",
author = "Chifeng Ma and Chen, {Hung I.Harry} and Yufei Huang and Yidong Chen",
year = "2010",
doi = "10.1145/1854776.1854876",
language = "English (US)",
isbn = "9781450304382",
series = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
pages = "520--528",
booktitle = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
note = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010 ; Conference date: 02-08-2010 Through 04-08-2010",
}