multiplicativeMatrix

Approximates a data matrix using a low-rank multiplicative model based on
a fixed outer product of centered row and column effects.

Identifies constant, additive, multiplicative, and user-defined
simplivariate components in numeric data matrices using a genetic algorithm.
Supports flexible pattern definitions and provides visualization for
general biclustering applications across diverse domains. The method builds
on simplivariate models as introduced in Hageman et al. (2008)
<doi:10.1371/journal.pone.0003259> and is related to biclustering
frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.

Jos Hageman

SIMPLICA

Biclustering via Simplivariate Component Analysis

multiplicativeMatrix function

<dl><dt>mat</dt>
<dd>A numeric matrix with values to approximate.</dd></dl>

Arguments

Generate an multiplicative approximation of a data matrix — multiplicativeMatrix

<dl>

<dt>mat</dt>
<dd>A numeric matrix with values to approximate.</dd>

</dl>

multiplicativeMatrix: Generate an multiplicative approximation of a data matrix

Description

Usage

Value

Arguments

Details