recipe bioconductor-missrows

Handling Missing Individuals in Multi-Omics Data Integration

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/missRows.html

License:

Artistic-2.0

Recipe:

/bioconductor-missrows/meta.yaml

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:

1.14.0-0,  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 >=1.20.0,<1.21.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• r-base >=4.1,<4.2.0a0

• r-ggplot2

• r-gtools

• r-plyr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-missrows

and update with:

conda update bioconductor-missrows

or 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

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