Pareto front based statistical tool for detecting heterogeneity in gene sets and biological modules from time-course data. Details about this method are described in Gu, J., et al. (2017) <doi:10.1093/bioinformatics/btx348>: Phantom: investigating heterogeneous gene sets in time-course data.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.3) |
| Imports: | Rcpp (≥ 0.12.3), NMF (≥ 0.20.6), MASS (≥ 7.3-35), RColorBrewer (≥ 1.1-2), gplots (≥ 2.16.0), qusage (≥ 2.12.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-03-29 |
| Author: | Jinghua Gu [aut, cre], Xuan Wang [aut], Jinayn Chan [aut, cre], Nicole Baldwin [aut], Jacob Turner [aut] |
| Maintainer: | Jinyan Chan <Jinyan.Chan at bswhealth.org> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | phantom results |
| Reference manual: | phantom.pdf |
| Vignettes: |
An Introduction to Phantom |
| Package source: | phantom_0.1.3.tar.gz |
| Windows binaries: | r-devel: phantom_0.1.3.zip, r-release: phantom_0.1.3.zip, r-oldrel: phantom_0.1.3.zip |
| OS X binaries: | r-release: phantom_0.1.3.tgz, r-oldrel: phantom_0.1.3.tgz |
| Old sources: | phantom archive |
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