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February 11, 2011
A paper published by CS&E alumnus Gaurav Pandey, Department Head Vipin Kumar and Assistant Professor Chad Myers was one of the "notable breakthroughs in computational biology from the past year" in an editorial published in Nature Biotechnology. The paper, "An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions" was published in the highly reputed PLoS Computational Biology and was cited by several leading computational biologists for having significantly influenced their research.
The goal of the project was to develop an accurate system for predicting genetic interactions from a variety of genome-wide data sets. This goal was achieved by means of an integrative, multi-classifier, multi-network system that made effective use of the available genomic data sets, and also employed critical concepts from machine learning. The work and its results can help scientists understand basic cellular processes, which could lead to the development of drugs for diseases that are hard to cure.
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