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DESeq2 task, on the other hand, is a Partek Flow native implementation of DESeq2 differential expression detection algorithm. Like GSA and ANOVA, before you run this task, we recommend that you first remove (filter out) features expressed at a low level and then normalize the data; the normalization that we suggest you use in conjunction with DESeq2 is Median ratio (median ration normalization is used by DESEq2(R)). One of the following method can be applied alsoalso be be used for normalization: TMM, CPM, Upper Quartile, Median Ratio (edgeR). However RPKM or TPM is not allowed. 

Installation of R is not required to run DESeq2 task.

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