@inproceedings{e9bf602fba72451dae0a374629701258,
title = "A computational framework for predicting drug Mode-of-Action",
abstract = "The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.",
keywords = "Drug activity prediction, Gene set selection, MoANet, Mode of Action",
author = "Chifeng Ma and Yufei Huang and Chen, {Hung I.} and Yidong Chen",
year = "2010",
doi = "10.1109/BIBMW.2010.5703831",
language = "English (US)",
isbn = "9781424483044",
series = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010",
pages = "374--379",
booktitle = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010",
note = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 ; Conference date: 18-12-2010 Through 21-12-2010",
}