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Commit 876fab56 authored by Arnaud Duvermy's avatar Arnaud Duvermy
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Update README.md

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...@@ -36,7 +36,6 @@ log 2 (q ij ) = x j. β i <br/> ...@@ -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 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 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/> 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: ### 4) Wald Test H0:
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