undoNormalizeData

<code>undoNormalizeData</code> returns the predictions on normalized data acquired
from <code>normalizeData</code> into the original data space.

Factor analysis implementation for multiple data sources, i.e., for groups of variables. The whole data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The model group factor analysis (GFA) is inferred with Gibbs sampling, and it has been presented originally by Virtanen et al. (2012), and extended in Klami et al. (2015) <DOI:10.1109/TNNLS.2014.2376974> and Bunte et al. (2016) <DOI:10.1093/bioinformatics/btw207>; for details, see the citation info.

Eemeli Lepp<e4>aho

Group Factor Analysis

Eemeli Leppäaho

Seppo Virtanen

Muhammad Ammad-ud-din

Suleiman A Khan

Tommi Suvitaival

Inka Saarinen

Samuel Kaski

undoNormalizeData function

<dl><dt>pred</dt>
<dd>The predictions acquired from <code>reconstruction</code>.</dd>
<dt>normalization</dt>
<dd>The output list obtained from
<code>normalizeData</code>.</dd></dl>

Arguments

A function for returning predictions into the original data space — undoNormalizeData

<dl>

<dt>pred</dt>
<dd>The predictions acquired from <code>reconstruction</code>.</dd>


<dt>normalization</dt>
<dd>The output list obtained from
<code>normalizeData</code>.</dd>

</dl>

undoNormalizeData: A function for returning predictions into the original data space

Description

Usage

Value

Arguments