| Name : R-BRACoD.R
| |
| Version : 0.0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.5
| Date : 2024-06-14 11:32:54
|
| Group : Development/Libraries/Other
| Source RPM : R-BRACoD.R-0.0.2.0-lp153.3.5.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : BRACoD: Bayesian Regression Analysis of Compositional Data
|
Description :
The goal of this method is to identify associations between bacteria
and an environmental variable in 16S or other compositional data. The
environmental variable is any variable which is measure for each
microbiome sample, for example, a butyrate measurement paired with
every sample in the data. Microbiome data is compositional, meaning
that the total abundance of each sample sums to 1, and this introduces
severe statistical distortions. This method takes a Bayesian approach
to correcting for these statistical distortions, in which the total
abundance is treated as an unknown variable. This package runs the
python implementation using reticulate.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
