We proposed a new model-based clustering method, called the clustering of regression models method(CORM), which groups genes that share a similar relationship to the covariate(s). This method provides a unified approach for a family of clustering procedures and can be applied to data collected with various experimental designs. This package includes the implementation for two such clustering procedures: (1) the Clustering of Linear Models (CLM) method, and (2) the Clustering of Linear Mixed Models (CLMM) method.
| Version: | 1.0.2 |
| Depends: | R (≥ 2.10.0), cluster, limma |
| Suggests: | MASS |
| Published: | 2014-06-30 |
| Author: | Li-Xuan Qin [aut], Jiejun Shi [cre] |
| Maintainer: | Jiejun Shi <shi.abraham.2010 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.r-project.org, http://www.mskcc.org/mskcc/html/60448.cfm |
| NeedsCompilation: | no |
| CRAN checks: | CORM results |
| Reference manual: | CORM.pdf |
| Package source: | CORM_1.0.2.tar.gz |
| Windows binaries: | r-devel: CORM_1.0.2.zip, r-release: CORM_1.0.2.zip, r-oldrel: CORM_1.0.2.zip |
| macOS binaries: | r-release: CORM_1.0.2.tgz, r-oldrel: CORM_1.0.2.tgz |
| Old sources: | CORM archive |
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