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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 ?
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 !
The text was updated successfully, but these errors were encountered:
Sophon-0
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Can we use it on several daatsets for we're not sure about the normalization
Can we use it on several daatsets for which we're not sure about the normalization
Apr 12, 2023
Hello,
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 ?
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 !
The text was updated successfully, but these errors were encountered: