Cascade_example

Net_inf_C

Result for the reverse engineering of a simulated Cascade network

datasets

An implementation of the selectboost algorithm (Bertrand et al. 2020, 'Bioinformatics', <doi:10.1093/bioinformatics/btaa855>), which is a general algorithm that improves the precision of any existing variable selection method. This algorithm is based on highly intensive simulations and takes into account the correlation structure of the data. It can either produce a confidence index for variable selection or it can be used in an experimental design planning perspective.

Frederic Bertrand

SelectBoost

A General Algorithm to Enhance the Performance of Variable
Selection Methods in Correlated Datasets

Cascade_example function

Three objects :<dl>
 <dt>M</dt>
<dd>Simulated microarray</dd> <dt>Net</dt>
<dd>Simulated network</dd> <dt>Net_inf_C</dt>
<dd>Inferred network</dd>
</dl>An object of class <code>network</code> of length 1.
An object of class <code>network</code> of length 1.

Cascade_example: Simulated Cascade network and inference

Description

Usage

Arguments

Format