Hello,
1) I have a few single cell datasets that have been normalized in different ways. some are log2 TPM, some are raw counts, and some are probably just log2 raw count. I don't even know myself. Can we use scanorama on these ?
2) The output of scanorama is a low dimensional embedding. Which means that the data are actually not integrated at the gene expression level. What other methods do you recommend for this type of tasks ? I would really like to have corrected datasets at expression level.
Thanks !
Hello, 1) I have a few single cell datasets that have been normalized in different ways. some are log2 TPM, some are raw counts, and some are probably just log2 raw count. I don't even know myself. Can we use scanorama on these ?
2) The output of scanorama is a low dimensional embedding. Which means that the data are actually not integrated at the gene expression level. What other methods do you recommend for this type of tasks ? I would really like to have corrected datasets at expression level. Thanks !