BEAMR: 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.

Version:	1.1.0
Depends:	R (≥ 2.10)
Imports:	dplyr, ggmosaic, ggplot2, ggpubr, logistf, magrittr, MASS, purrr, rlist, stats, stringr, survival, survminer
Suggests:	rmarkdown
Published:	2024-07-27
DOI:	10.32614/CRAN.package.BEAMR
Author:	Anna Eames Seffernick [aut, cre, cph], Stanley Pounds [aut], Xueyuan Cao [aut]
Maintainer:	Anna Eames Seffernick <anna.seffernick at stjude.org>
BugReports:	https://github.com/annaSeffernick/BEAMR/issues
License:	GPL (≥ 3)
URL:	https://annaseffernick.github.io/BEAMR/, https://github.com/annaSeffernick/BEAMR
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	BEAMR results

Documentation:

Reference manual:

BEAMR.pdf

Downloads:

Package source:	BEAMR_1.1.0.tar.gz
Windows binaries:	r-devel: BEAMR_1.1.0.zip, r-release: BEAMR_1.1.0.zip, r-oldrel: BEAMR_1.1.0.zip
macOS binaries:	r-devel (arm64): BEAMR_1.1.0.tgz, r-release (arm64): BEAMR_1.1.0.tgz, r-oldrel (arm64): BEAMR_1.1.0.tgz, r-devel (x86_64): BEAMR_1.1.0.tgz, r-release (x86_64): BEAMR_1.1.0.tgz, r-oldrel (x86_64): BEAMR_1.1.0.tgz

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