computeUpsizedGC

: matrix with samples in rows and downsizings in the columns as produced by downsizedRichnessL2T

richness.table

: by default is 2 (downsizings in the columns)

side

: by default is TRUE. Substitue the predicted values by the real values when is not NA

keep.real

plot


This procedure takes a table of meaned downsized gene counts where at least one column
is donwsized at a common minimal level. It uses this information to fit distributions of correlations
between different downsized levels and "predict" values for the samples that have not the needed
sequencing depth. The fitting of the models is based on the n-1 to be closer to reality and avoid accumulating errors.


'MetaOMineR' suite is a set of R packages that offers many functions and modules needed for the analyses
of quantitative metagenomics data. 'momr' is the core package and contains routines for biomarker identification and exploration.
Developed since the beginning of field, 'momr' has evolved and is structured around the different modules
such as preprocessing, analysis, vizualisation, etc. See package help for more information.

computeUpsizedGC: computeUpsizedGC

Description

Usage

Arguments

Value

Details

See Also