targetMat

<p>A binary data matrix that contains 477 target predictions for the CMAP
MCF7 data.</p>

datasets

Several integrative data methods in which information of objects from different data sources can be combined are included in the IntClust package. As a single data source is limited in its point of view, this provides more insight and the opportunity to investigate how the variables are interconnected. Clustering techniques are to be applied to the combined information. For now, only agglomerative hierarchical clustering is implemented. Further, differential gene expression and pathway analysis can be conducted on the clusters. Plotting functions are available to visualize and compare results of the different methods.

Marijke Van Moerbeke

IntClust

Integrated Data Analysis via Clustering

targetMat function

<p>The format is:
 num [1:56, 1:477] 0 0 0 0 0 0 0 0 0 0 ...
 - attr(*, "dimnames")=List of 2
  ..$ : chr [1:56] "metformin" "phenformin" "phenyl biguanide" "estradiol" ...
  ..$ : chr [1:477] "Arachidonate_15.lipoxygenase" "Estradiol_17.beta.dehydrogenase_2" "Estradiol_17.beta.dehydrogenase_1" "Lanosterol_synthase" ...</p>

targetMat: The target prediction matrix

Description

Usage

Arguments

Format