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Commit e27a0df3 authored by Arnaud Duvermy's avatar Arnaud Duvermy
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Update README.md

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...@@ -10,7 +10,7 @@ Purpose: ...@@ -10,7 +10,7 @@ Purpose:
Main step: Main step:
1) Estimate size factor ### 1) Estimate size factor
Median ratio method is used to estimate the size factor per sample. Median ratio method is used to estimate the size factor per sample.
...@@ -19,14 +19,14 @@ Normalized counts allow minimizing biais linked to library size. ...@@ -19,14 +19,14 @@ Normalized counts allow minimizing biais linked to library size.
By normalizing the counts DESEQ2 aims to make sure differential expression are based on factors study and not to sequencing depth By normalizing the counts DESEQ2 aims to make sure differential expression are based on factors study and not to sequencing depth
/!\ gene length is not take into account ! /!\ gene length is not take into account !
2) Estimate dispersion ### 2)Estimate dispersion
Purpose: Estimate the variability between replicates Purpose: Estimate the variability between replicates <br/>
Get dispersion estimate for each gene using Maximum Linkelihood Estimatation Get dispersion estimate for each gene using Maximum Linkelihood Estimatation <br/>
Fit a curve to wise gene dispersion estimate Fit a curve to wise gene dispersion estimate
3) Fit linear model ### 3) Fit linear model
The differential expression analysis uses a generalized linear model of the form: The differential expression analysis uses a generalized linear model of the form:
Kij ∼ NB(µij , α i )<br/> Kij ∼ NB(µij , α i )<br/>
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