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Differential expression identification analysis software tools | Microarray data analysis

Different methods have been proposed for analyzing differentially expressed (DE) genes in microarray data. Methods based on statistical tests that incorporate expression level variability are used more commonly than those based on fold change (FC). However, FC based results are more reproducible and biologically relevant.

Source text:
(Dembele and Kastner 2014) Fold change rank ordering statistics: a new method for detecting differentially expressed genes. BMC Bioinformatics.

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