10 months ago by
Weill Cornell Medicine
RUVSeq is designed to work with gene-level counts. If you are working with TPM or FPKM quantities, you may want to use the ruv package on CRAN or the RUVnormalize package in Bioconductor, depending if you have a supervised or unsupervised problem.
Although these packages were designed for microarray data, you can try to use as input the log of FPKM / TPM, essentially assuming a linear model for these data.
An alternative would be to compute the expected counts from RSEM (perhaps rounding them to nearest integer) and assume that you're dealing with actual counts, using the regular RUVSeq pipeline.
Note that both approaches are non-standard uses of the packages, hence it is extra important for you to check the assumptions of the model (i.e., linear models for ruv / RUVnormalize and log-linear model for RUVSeq).