makeDesign

This function wraps around model.matrix to create a design matrix based on the different levels in model.matrix. Note that the order of the column names of the design matrix will be in lexicographic order according to the locale in use. For more, see ?Comparison

Performs differential correlation analysis on input
matrices, with multiple conditions specified by a design matrix. Contains
functions to filter, process, save, visualize, and interpret differential
correlations of identifier-pairs across the entire identifier space, or with
respect to a particular set of identifiers (e.g., one). Also contains several
functions to perform differential correlation analysis on clusters (i.e., modules)
or genes. Finally, it contains functions to generate empirical p-values for the
hypothesis tests and adjust them for multiple comparisons. Although the package
was built with gene expression data in mind, it is applicable to other types of
genomics data as well, in addition to being potentially applicable to data from
other fields entirely. It is described more fully in the manuscript
introducing it, freely available at <doi:10.1186/s12918-016-0349-1>.

Andrew McKenzie

DGCA

Differential Gene Correlation Analysis

makeDesign function

<dl><dt>x</dt>
<dd>Character vector to be used to create the design matrix.</dd></dl>

Arguments

Create a design matrix from a character vector. — makeDesign

<dl>

<dt>x</dt>
<dd>Character vector to be used to create the design matrix.</dd>

</dl>

makeDesign: Create a design matrix from a character vector.

Description

Usage

Value

Arguments

Examples