parkinson {bnRep} | R Documentation |
parkinson Bayesian Network
Description
AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's disease.
Format
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:
- Cluster_1
- Cluster_2
- Cluster_3
- Cluster_4
- Cluster_6
- Cluster_7
- Cluster_8
- Cluster_9
- Cluster_11
- Cluster_14
- Cluster_15
- Cluster_16
- Cluster_17
- Cluster_18
- Cluster_19
- Cluster_20
- Cluster_21
- Cluster_25
- Cluster_26
- Cluster_27
- cognition
- PatDemo_educ
- PatDemo_sex
- PatDemo_apoe
- PatDemo_age
- PatDemo_brainregion
- REL
- PPARG
- TRAF1
- GRIN1
- CASP7
- NAV3
- DLG4
- CD33
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Raschka, T., Sood, M., Schultz, B., Altay, A., Ebeling, C., & Frohlich, H. (2023). AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease. PLOS Computational Biology, 19(2), e1009894.
[Package bnRep version 0.0.1 Index]