GDIpathway2 {bnRep} | R Documentation |
GDIpathway Bayesian Networks
Description
Integrative network modeling highlights the crucial roles of Rho-GDI signaling pathway in the progression of non-small cell lung cancer.
Format
A discrete Bayesian network to pinpoint key cellular factors and pathways likely to be involved with the onset and progression of non-small cell lung cancer (unhealthy patients). The network was available from an associated repository. The vertices are:
- ARHGAP6
(Above, Below);
- ARHGEF19
(Above, Below);
- CD44
(Above, Below);
- CDC42-IT1
(Above, Below);
- CDH1
(Above, Below);
- CFL2
(Above, Below);
- DAGLB
(Above, Below);
- DGKZ
(Above, Below);
- DLC1
(Above, Below);
- ECM1
(Above, Below);
- ERMAP
(Above, Below);
- ERMP1
(Above, Below);
- GNA11
(Above, Below);
- GNG11
(Above, Below);
- GPRC5A
(Above, Below);
- ITGB2
(Above, Below);
- LACTB
(Above, Below);
- LIMK2
(Above, Below);
- PAAF1
(Above, Below);
- PAK1
(Above, Below);
- PAK1
(Above, Below);
- PIP
(Above, Below);
- PIP4K2A
(Above, Below);
- PIP5K1B
(Above, Below);
- RAC2
(Above, Below);
- RHOJ
(Above, Below);
- ROCK2
(Above, Below);
- RTKN
(Above, Below);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Gupta, S., Vundavilli, H., Osorio, R. S. A., Itoh, M. N., Mohsen, A., Datta, A., ... & Tripathi, L. P. (2022). Integrative network modeling highlights the crucial roles of rho-GDI signaling pathway in the progression of non-small cell lung cancer. IEEE Journal of Biomedical and Health Informatics, 26(9), 4785-4793.