Original paper
Robust gene selection methods using weighting schemes for microarray data analysis
Abstract
A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been essential in analyzing the data. However, the performances of many gene selection techniques are highly dependent on the experimental conditions, such as the presence of measurement error or a limited number...
Paper Details
Title
Robust gene selection methods using weighting schemes for microarray data analysis
Published Date
Sep 2, 2017
Journal
Volume
18
Issue
1
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Notes
History