-
Notifications
You must be signed in to change notification settings - Fork 9
Open
Description
Read totals do not sum to one million per column. Values are much larger than log2 could realistically be and also are integers.
Gene-level log2 RPM miRNA expression values
> SKCM <- curatedTCGAData(diseaseCode = "SKCM", "miRNASeqGene", version = "2.0.1", dry.run = FALSE)
> colSums(assay(SKCM, "SKCM_miRNASeqGene-20160128"))[1:3]
TCGA-3N-A9WC-06A-11R-A38N-13 TCGA-3N-A9WD-06A-11R-A38N-13 TCGA-BF-A1PU-01A-11R-A18V-13
2513621 1391137 6517976
> assay(SKCM, "SKCM_miRNASeqGene-20160128")[1:3, 1:3]
TCGA-3N-A9WC-06A-11R-A38N-13 TCGA-3N-A9WD-06A-11R-A38N-13 TCGA-BF-A1PU-01A-11R-A18V-13
hsa-let-7a-1 36892 35099 153588
hsa-let-7a-2 73335 70150 307519
hsa-let-7a-3 37024 35418 154694
It would be nice to have analysis-ready miRNA matrix (also collapse -1 -2, -3 into one row) for patient classification.
Metadata
Metadata
Assignees
Labels
No labels