Bootstrap Evaluation of Association Matrices

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.


BEAMR

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.

Installation

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")

Example

See the vignette at BEAMR Vignette.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("BEAMR")

1.1.0 by Anna Eames Seffernick, 2 years ago


https://annaseffernick.github.io/BEAMR/, https://github.com/annaSeffernick/BEAMR


Report a bug at https://github.com/annaSeffernick/BEAMR/issues


Browse source code at https://github.com/cran/BEAMR


Authors: Anna Eames Seffernick [aut, cre, cph] , Stanley Pounds [aut] , Xueyuan Cao [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, ggmosaic, ggplot2, ggpubr, logistf, magrittr, MASS, purrr, rlist, stats, stringr, survival, survminer

Suggests rmarkdown


See at CRAN