If you perform within sample normalization using CPM, TPM, FPKM (paried end), RPKM (single read), Quantile, or any other within sample normalization - these are loosely referred to as 'absolute quantification' and as such allow you to compare one gene to another gene within the same sample. There are a variety of natural biases that accompany any RNA-seq experiment that must be correct for in order to consider counts absolute quantification. Its actually a more complex situation than this and frankly, I often hear people speaking about RNAseq data in such terms and it is incorrect to do so. To be clear - raw RNA-seq data (or more specifically, the counts that may be derived from it using software such as HT-seq or Subread featureCount) is NOT absolute quantification.
0 kommentar(er)
