parkinson

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's disease.

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

parkinson function

A Gaussian Bayesian network to simulate a down-expression of the putative drug target CD33, including potential impact on cognitive impairment and brain pathophysiology. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Cluster_1</dt>
<dd></dd><dt>Cluster_2</dt>
<dd></dd><dt>Cluster_3</dt>
<dd></dd><dt>Cluster_4</dt>
<dd></dd><dt>Cluster_6</dt>
<dd></dd><dt>Cluster_7</dt>
<dd></dd><dt>Cluster_8</dt>
<dd></dd><dt>Cluster_9</dt>
<dd></dd><dt>Cluster_11</dt>
<dd></dd><dt>Cluster_14</dt>
<dd></dd><dt>Cluster_15</dt>
<dd></dd><dt>Cluster_16</dt>
<dd></dd><dt>Cluster_17</dt>
<dd></dd><dt>Cluster_18</dt>
<dd></dd><dt>Cluster_19</dt>
<dd></dd><dt>Cluster_20</dt>
<dd></dd><dt>Cluster_21</dt>
<dd></dd><dt>Cluster_25</dt>
<dd></dd><dt>Cluster_26</dt>
<dd></dd><dt>Cluster_27</dt>
<dd></dd><dt>cognition</dt>
<dd></dd><dt>PatDemo_educ</dt>
<dd></dd><dt>PatDemo_sex</dt>
<dd></dd><dt>PatDemo_apoe</dt>
<dd></dd><dt>PatDemo_age</dt>
<dd></dd><dt>PatDemo_brainregion</dt>
<dd></dd><dt>REL</dt>
<dd></dd><dt>PPARG</dt>
<dd></dd><dt>TRAF1</dt>
<dd></dd><dt>GRIN1</dt>
<dd></dd><dt>CASP7</dt>
<dd></dd><dt>NAV3</dt>
<dd></dd><dt>DLG4</dt>
<dd></dd><dt>CD33</dt>
<dd></dd>
</dl>

parkinson: parkinson Bayesian Network

Description

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