recipe bioconductor-timeomics

Time-Course Multi-Omics data integration

Homepage:

https://bioconductor.org/packages/3.16/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:

1.10.0-01.6.0-01.4.0-01.2.0-11.2.0-01.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 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>)

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