A bootstrap-based approach to integrate multiple forms of high dimensional genomic data with multiple clinical endpoints. This method is used to find clinically meaningful groups of genomic features, such as genes or pathways. A manuscript describing this method is in preparation.
The BEAMR package implements the Bootstrap Evaluation of Association Matrices (BEAM) method to identify genes that have multiple genomic features associated with multiple clinical endpoints. It uses simple association models and bootstraping to integrate multiple genomic features.
You can install BEAMR from CRAN with:
install.packages("BEAMR")
You can install the development version of BEAMR from GitHub with:
# install.packages("devtools")
devtools::install_github("annaSeffernick/BEAMR")
See the vignette at BEAMR Vignette.