RNA-seq edgeR normalization
I have a matrix. I will enter gene expression values one by one into linear model. if gene1 is input, gene expression values of sample1 ~ sample 10 are input. I wonder how to normalize raw read counts using edgeR and that I can use library size, norm.factors about each genes as a result of calcNormfactors( ).
linear model : y ~ covariate + gene expression value
gene1 gene2 ... gene24596
sample1 read counts
sample2
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sample10
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1 answer
Do not reinvent the wheel, your knowledge of statistics is insufficient to do so.
Use edgeR as described in its vignette and DO NOT USE A LINEAR MODEL.
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