miRTargetGenes

Lu et al. (2005) profiled both miRNA expression and mRNA expression 
in multiple human cancer types. The miRNA profiles reflected the developmental lineage 
and differentiation state of the tumours. One of the profiled miRNA is let-7f. 
Its expression is highly correlated (Pearson correlation < -0.458) with the expression 
of 178 genes in tumors from 5 cancer types.

datasets

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.

Jiejun Shi

CORM

The Clustering of Regression Models Method

miRTargetGenes function

A list comprised of two components: normalizedData and designMatrix.
 <ol>
<li> normalizedData is a matrix containing the normalized data of the miR-let-7f targets, whose row 
 names are gene IDs and column names indicate normal and tumor samples of 5 types of cancer.
 </li>
<li> designMatrix is the covariates matrix used to fit the clustering of
 linear models (CLM), whose row names are samples and column names are covariates.
 </li>
</ol>

miRTargetGenes: miR-let-7f Targets Data Set

Description

Usage

Arguments

Format

References