Usage
manta(counts, samples=makeSampleDF(counts), genes=NULL, meta=NULL, meta.sum=NULL, weights=NULL, norm=TRUE, disp=TRUE, ...)
Arguments
counts
A numeric matrix containing the read counts. Rows should be named by a unique gene identifier.
samples
The experimental sample dataframe (nearly identical to the one in a DGEList object).
weights
A numberic matrix of count weights for each count. Should be the same dimentions as the count table.
genes
A dataframe of genes annotations that have corresponding count data.
meta
A taxinomic level list of gene lists of cross tabulations of taxinomic (meta) annotations for genes that have corresponding count data.
meta.sum
A list of aggregated counts for (one per taxinomic level).
norm
boolean specifiying if manta should automatically normalize using calcNormFactors().
disp
boolean specifying if manta should automatically estimate the common dispersion via estimateCommonDisp().
...
additional parameters passed to DGEList