Methods for visualizing TPM of gene samples
Hello everyone,
I am relatively new at analyzing RNA_seq data. I am using R studio and have a .tsv file which contains a dataframe of rna tissue samples along with their TPM values. I have noticed that most work flows begin with a raw counts file. What would be the best method or approach for analysis if all I have are tpm values?
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For what sort of analysis? Just visualizing TPMs in a sample? Differential expression? DE from TPMs is not recommended, and while it's possible to hack something together with limma-voom, it's a much better use of your time to try to get the raw counts if differential expression analysis is your end goal.
I am analyzing an hpa_rna_tissue file that only includes TPM values of genes by sample. As a somewhat newbie to the space I was interested in what kind of useful information could be extracted or visualized using only the TPM values provided.