recipe bioconductor-timeomics

Time-Course Multi-Omics data integration

Homepage

https://bioconductor.org/packages/3.11/bioc/html/timeOmics.html

License

GPL-3

Recipe

/bioconductor-timeomics/meta.yaml

timeOmics is a generic data-driven framework to integrate multi-Omics longitudinal data measured on the same biological samples and select key temporal features with strong associations within the same sample group. The main steps of timeOmics are: 1. Plaform and time-specific normalization and filtering steps; 2. Modelling each biological into one time expression profile; 3. Clustering features with the same expression profile over time; 4. Post-hoc validation step.

package bioconductor-timeomics

(downloads) docker_bioconductor-timeomics

Versions

1.0.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-timeomics

and update with:

conda update bioconductor-timeomics

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-timeomics:<tag>

(see bioconductor-timeomics/tags for valid values for <tag>)