dataHuman

Data on a set of flow cytometry experiments on signaling networks of human immune system cells. The dataset includes p=11 proteins and n=7466 samples.

datasets

We propose an objective Bayesian algorithm for searching the space of Gaussian directed acyclic graph (DAG) models. The algorithm proposed makes use of moment fractional Bayes factors (MFBF) and thus it is suitable for learning sparse graph. The algorithm is implemented by using Armadillo: an open-source C++ linear algebra library.

Davide Altomare

FBFsearch

Algorithm for Searching the Space of Gaussian Directed Acyclic
Graph Models Through Moment Fractional Bayes Factors

dataHuman function

<code>dataHuman</code> contains the following objects:<dl>
 <dt><code>Obs</code></dt>
<dd>Matrix (7466x11) with the observations.</dd> <dt><code>Perms</code></dt>
<dd>List of 5 matrices (1x11) each of which with a permutation of the nodes.</dd> <dt><code>TDag</code></dt>
<dd>Matrix (11x11) with the adjacency matrix of the known regulatory network.</dd> 
</dl>

Format

Cell signalling pathway data — dataHuman

<code>dataHuman</code> contains the following objects:<dl>
 <dt><code>Obs</code></dt>
<dd>Matrix (7466x11) with the observations.</dd>

 <dt><code>Perms</code></dt>
<dd>List of 5 matrices (1x11) each of which with a permutation of the nodes.</dd>

 <dt><code>TDag</code></dt>
<dd>Matrix (11x11) with the adjacency matrix of the known regulatory network.</dd>

 
</dl>

dataHuman: Cell signalling pathway data

Description

Usage

Arguments

Format

References