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IPCTT package for Matlab
Developed by Chia-Chin Wu, 2011
Introduction
A major goal of cancer research is to find specific therapies to molecular targets in cancers. High-throughput technologies now can be used to identify hundreds or even thousands of candidate genes (ex: genes with genomic alterations or differentially expressed genes) in a cancer. However, it is difficult to prioritize potential therapeutic targets from such a large amount of candidate genes. The vast array of in silico resources currently available in life sciences research offer the possibility of aiding drug discovery process. Here we propose to take advantage of these resources to develop a tool, IPCTT, to comprehensively and effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches.
The IPCTT tool for MATLAB is an environment with graphical user interfaces (GUI). The predictions of IPCTT relied on a whole-genom
