Omics data come in different forms: gene expression, methylation, copy number, protein measurements and more. 'NCutYX' allows clustering of variables, of samples, and both variables and samples (biclustering), while incorporating the dependencies across multiple types of Omics data. (SJ Teran Hidalgo et al (2017), <doi:10.1186/s12864-017-3990-1>).
Version: | 0.1.0 |
Depends: | R (≥ 3.4) |
Imports: | Rcpp (≥ 0.12.2), glmnet (≥ 2.0-5), MASS (≥ 7.3-47), mvtnorm (≥ 1.0-6), fields (≥ 9.0) |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown |
Published: | 2018-02-09 |
Author: | Sebastian J. Teran Hidalgo, Shuangge Ma, Ruofan Bie |
Maintainer: | Sebastian J. Teran Hidalgo <sebastianteranhidalgo at gmail.com> |
BugReports: | https://github.com/Seborinos/NCutYX/issues |
License: | GPL-3 |
URL: | https://github.com/Seborinos/NCutYX |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | NCutYX results |
Reference manual: | NCutYX.pdf |
Vignettes: |
The NCutYX package |
Package source: | NCutYX_0.1.0.tar.gz |
Windows binaries: | r-devel: NCutYX_0.1.0.zip, r-release: NCutYX_0.1.0.zip, r-oldrel: NCutYX_0.1.0.zip |
macOS binaries: | r-release (arm64): NCutYX_0.1.0.tgz, r-oldrel (arm64): NCutYX_0.1.0.tgz, r-release (x86_64): NCutYX_0.1.0.tgz, r-oldrel (x86_64): NCutYX_0.1.0.tgz |
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