Dear all, I have a dataframe consisting of tpm count generated from another group using RSEM.  However, this only comes with tpm counts only.
My goal is to use tximport to convert to this to a count-matrix to use with something like voom-limmar, however the the tutorial I can find so far gives a example such as this,
tximport(files, type = "salmon", tx2gene = tx2gene, countsFromAbundance = "lengthScaledTPM")where the input is a bunch of tsv files and we must define the type. My question is, instead of "files" can I just provide a dataframe with something that looks like this with tpm counts?
| gene | Ide456 | Ide77 | Ide89 | Ide7 | Ide9 | Ide8 | Ide987 | 
| 5_8S_rRNA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 
| 5S_rRNA | 0.178125 | 0 | 0 | 0 | 0 | 0 | 0 | 
| 7SK | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 
| A1BG | 4.149747 | 2.017922 | 3.552131 | 3.408712 | 3.62293 | 3.749534 | 4.478325 | 
| A1BG-AS1 | 1.786596 | 0.298658 | 1.144046 | 0.275007 | 0.555816 | 1.189034 | 0.713696 | 
| A1CF | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 
| A2M | 0.516015 | 0.475085 | 0.014355 | 1.378512 | 0.356144 | 0.925999 | 0 | 
...
so here each column is a sample and each gene is just TPM counts.
thanks!
A.
