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 . . . sample10