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 |
| 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:
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