poultry {bnRep} | R Documentation |
poultry Bayesian Network
Description
Practical application of a Bayesian network approach to poultry epigenetics and stress.
Format
A discrete Bayesian network to provide further insights into the relationships among epigenetic features and a stressful condition in chickens. The Bayesian network is learned as in the referenced paper. The vertices are:
- ARHGAP26
(0,1);
- BOP1
(0,1);
- CANX
(0,1);
- CWC25
(0,1);
- DGKD
(0,1);
- DMR1
(0,1);
- DMR2
(0,1);
- DMR5
(0,1);
- DMR6
(0,1);
- DMR7
(0,1);
- DOCK5
(0,1);
- EEPD1
(0,1);
- EFR3B
(0,1);
- ENS10218
(0,1);
- ENS27231
(0,1);
- ENS46425
(0,1);
- ENS47746
(0,1);
- ENS50012
(0,1);
- ENS50641
(0,1);
- ENS51236
(0,1);
- ENS53725
(0,1);
- FBN1
(0,1);
- GNAO1
(0,1);
- GRP141
(0,1);
- LOC101750642
(0,1);
- LOC770074
(0,1);
- LRP5
(0,1);
- MFSD4A
(0,1);
- MIP
(0,1);
- OCLN
(0,1);
- PAPK2
(0,1);
- PLXNA2
(0,1);
- POP5
(0,1);
- RP1_27O5_3
(0,1);
- SCHIP1
(0,1);
- SELENOI
(0,1);
- SHISA2
(0,1);
- SKOR2
(0,1);
- STAT3
(0,1);
- Stress
(0,1);
- TPST2
(0,1);
- TRMT10A
(0,1);
- TTLL9
(0,1);
- VGLL4
(0,1);
- XRCC4
(0,1);
- ZBTB48
(0,1);
- ZDHHC18
(0,1);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Videla Rodriguez, E. A., Pertille, F., Guerrero-Bosagna, C., Mitchell, J. B., Jensen, P., & Smith, V. A. (2022). Practical application of a Bayesian network approach to poultry epigenetics and stress. BMC Bioinformatics, 23(1), 261.