Improving accuracy of microarray classification by a simple multi-task feature selection filter

Abstract

Leveraging information from the publicly accessible data repositories can be very useful when training a classifier from a small-sample microarray data. To achieve this, we proposed a multi-task feature selection filter that borrows strength from auxiliary microarray data. It uses Kruskal-Wallis test on auxiliary data and ranks genes based on their… (More)
DOI: 10.1504/IJDMB.2011.039177

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