Gene differential coexpression analysis based on biweight correlation and maximum clique

Abstract

Differential coexpression analysis usually requires the definition of 'distance' or 'similarity' between measured datasets. Until now, the most common choice is Pearson correlation coefficient. However, Pearson correlation coefficient is sensitive to outliers. Biweight midcorrelation is considered to be a good alternative to Pearson correlation since it is… (More)
DOI: 10.1186/1471-2105-15-S15-S3

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