alpha_calculation

s_ik

t_jg

nu_j

mu_i

a matrix of observations. Columns correspond to biological samples and rows to microorganisms.

exp_utilde

internal

Implementation of a probabilistic method for biclustering
adapted to overdispersed count data. It is a Gamma-Poisson Latent Block Model.
It also implements two selection criteria in order to select the number of
biclusters.

J Aubert

cobiclust

Biclustering via Latent Block Model Adapted to Overdispersed
Count Data

alpha_calculation function

<dl><dt>s_ik</dt>
<dd>s_ik.</dd>
<dt>t_jg</dt>
<dd>t_jg.</dd>
<dt>nu_j</dt>
<dd>nu_j.</dd>
<dt>mu_i</dt>
<dd>mu_i.</dd>
<dt>K</dt>
<dd>K.</dd>
<dt>G</dt>
<dd>G.</dd>
<dt>x</dt>
<dd>a matrix of observations. Columns correspond to biological samples and rows to microorganisms.</dd>
<dt>exp_utilde</dt>
<dd>exp_utilde.</dd></dl>

Arguments

Calculate the matrix (alpha_k,g) — alpha_calculation

<dl>

<dt>s_ik</dt>
<dd>s_ik.</dd>


<dt>t_jg</dt>
<dd>t_jg.</dd>


<dt>nu_j</dt>
<dd>nu_j.</dd>


<dt>mu_i</dt>
<dd>mu_i.</dd>


<dt>K</dt>
<dd>K.</dd>


<dt>G</dt>
<dd>G.</dd>


<dt>x</dt>
<dd>a matrix of observations. Columns correspond to biological samples and rows to microorganisms.</dd>


<dt>exp_utilde</dt>
<dd>exp_utilde.</dd>

</dl>

alpha_calculation: Calculate the matrix (alpha_k,g)

Description

Usage

Value

Arguments