Evaluating coexpression analysis for gene function prediction
Microarray expression data sets vary in size, data quality and other features, but most methods for selecting coexpressed gene pairs use a ‘one size fits all’ approach. There have been many different procedures for selecting coexpressed gene pairs of high functional similarity from an expression dat...
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| Language: | English |
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University of British Columbia
2010
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| Online Access: | http://hdl.handle.net/2429/17430 |