View source: R/normalize_norm.R
normalize_counts | R Documentation |
This provides shortcut interfaces for normalization functions from deseq2/edger and friends.
normalize_counts(data, design = NULL, method = "raw", ...)
data |
Matrix of count data. |
design |
Dataframe describing the experimental design. (conditions/batches/etc) |
method |
Normalization to perform: 'sf|quant|qsmooth|tmm|upperquartile|tmm|rle' I keep wishy-washing on whether design is a required argument. |
... |
More arguments might be necessary. |
Dataframe of normalized(counts)
[edgeR] [limma] [DESeq2] [preprocessCore] [BiocGenerics]
## Not run:
norm_table = normalize_counts(count_table, design = design, norm='qsmooth')
## End(Not run)
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