View source: R/normalize_convert.R
convert_counts | R Documentation |
I should probably tell it to also handle a simple df/vector/list of gene lengths, but I haven't. cp_seq_m is a cpm conversion of the data followed by a rp-ish conversion which normalizes by the number of the given oligo. By default this oligo is 'TA' because it was used for tnseq which should be normalized by the number of possible transposition sites by mariner. It could, however, be used to normalize by the number of methionines, for example – if one wanted to do such a thing.
convert_counts(count_table, method = "raw", ...)
count_table |
Matrix of count data. |
method |
Type of conversion to perform: edgecpm/cpm/rpkm/cp_seq_m. |
... |
Options I might pass from other functions are dropped into arglist, used by rpkm (gene lengths) and divide_seq (genome, pattern to match, and annotation type). |
Dataframe of cpm/rpkm/whatever(counts)
[edgeR] [Biobase]
## Not run:
converted_table = convert_counts(count_table, method='cbcbcpm')
## End(Not run)
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