- recipe bioconductor-missrows
Handling Missing Individuals in Multi-Omics Data Integration
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/missRows.html
- License:
Artistic-2.0
- Recipe:
The missRows package implements the MI-MFA method to deal with missing individuals ('biological units') in multi-omics data integration. The MI-MFA method generates multiple imputed datasets from a Multiple Factor Analysis model, then the yield results are combined in a single consensus solution. The package provides functions for estimating coordinates of individuals and variables, imputing missing individuals, and various diagnostic plots to inspect the pattern of missingness and visualize the uncertainty due to missing values.
- package bioconductor-missrows¶
- versions:
1.22.0-0
,1.20.0-0
,1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.0-1
,1.2.0-0
- depends bioconductor-multiassayexperiment:
>=1.28.0,<1.29.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-ggplot2:
- depends r-gtools:
- depends r-plyr:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-missrows and update with:: mamba update bioconductor-missrows
To create a new environment, run:
mamba create --name myenvname bioconductor-missrows
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-missrows:<tag> (see `bioconductor-missrows/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-missrows/README.html)