Targeted learning with moderated statistics for biomarker discovery
This package provides 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.
- Website: https://code.nimahejazi.org/biotmle/
- Licenses: Expat
- Package source: gnu/packages/bioconductor.scm
- Builds: See build status
- Issues: See known issues
r-biotmle 1.26.0 as follows:
guix install firstname.lastname@example.org
Or install the latest version:
guix install r-biotmle
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the
guix shell documentation for more information.