SharedSelection

Optional. The output of a <code>DiffGenes</code> function. Default is NULL.

DataLimma

Optional. The output of <code>Geneset.intersect</code> function. Default is NULL.

DataMLP

Optional. The output of <code>CharacteristicFeatures</code>
function. Default is NULL.

DataFeat

Optional. Names of the methods or "Selection" if it only
considers a selection of objects. Default is NULL.

names

Internal function of <code>SharedGenesPathsFeat</code>.

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.

SharedSelection: Intersection of genes and pathways over multiple methods for a selection of objects.

Description

Usage

Arguments