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@@ -36,7 +36,6 @@ log 2 (q ij ) = x j. β i <br/>
 where counts K ij for gene i, sample j are modeled using a Negative Binomial distribution with
 fitted mean µ ij and a gene-specific dispersion parameter α i . The fitted mean is composed of a
 sample-specific size factor s j and a parameter q ij proportional to the expected true concentration of fragments for sample j. The coefficients β i give the log2 fold changes for gene i for each column of the model matrix X. <br/>
-x j. β i can be see as the logFC between condition (for treated condition).
 
 ### 4) Wald Test H0: