recipe bioconductor-biotmle

Targeted Learning with Moderated Statistics for Biomarker Discovery

Homepage

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

License

file LICENSE

Recipe

/bioconductor-biotmle/meta.yaml

Tools for differential expression biomarker discovery based on microarray and next-generation sequencing data that leverage efficient semiparametric estimators of the average treatment effect for variable importance analysis. Estimation and inference of the (marginal) average treatment effects of potential biomarkers are computed by targeted minimum loss-based estimation, with joint, stable inference constructed across all biomarkers using a generalization of moderated statistics for use with the estimated efficient influence function. The procedure accommodates the use of ensemble machine learning for the estimation of nuisance functions.

package bioconductor-biotmle

(downloads) docker_bioconductor-biotmle

Versions

1.12.0-01.10.0-01.8.0-11.6.0-0

Depends
Required By

Installation

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

conda install bioconductor-biotmle

and update with:

conda update bioconductor-biotmle

or use the docker container:

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

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