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.
|Author||Li-Xuan Qin [aut], Jiejun Shi [cre]|
|Date of publication||2014-06-30 10:50:49|
|Maintainer||Jiejun Shi <email@example.com>|
|License||GPL (>= 2)|
BreastCancer: Breast Cancer Data Set
CORM-package: Clustering of Regression Models Method
fit.CLM: Clustering of Linear Models Method
fit.CLMM: Clustering of Linear Mixed Models Method
fit.CLMM.2: Clustering of Linear Mixed Models Method
miRTargetGenes: miR-let-7f Targets Data Set
YeastCellCycle: Yeast Cell Cycle Data Set
YeastCellCycle2: Yeast Cell Cycle Data Sets of wild type and single mutant
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