Name
Abstract | ||
|---|---|---|
We investigate in this paper reverse engineering of gene regulatory networks from time series microarray data. We propose a dynamic Bayesian networks (DBNs) modeling and a full Bayesian learning scheme. The proposed DBN models directly the continuous expression levels and also is associated with parameters that indicate the degree as well as the types of regulations. To learn the network from data, we proposed a reversible jump Markov chain Monte Carlo (RJMCMC) algorithm. The RJMCMC algorithm can provide not only more accurate inference results than the deterministic alternative algorithms but also an estimate on the a posteriori probabilities (APPs) of the network topology. The estimated APPs provide useful information on the confidence of the inferred results and can also be used for efficient Bayesian data integration. The proposed approach was tested on yeast cell cycle microarray data and the results were compared with the KEGG pathway map |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1660536 | ICASSP (2) |
Keywords | Field | DocType |
bayesian learning scheme,a posteriori probabilities,belief networks,yeast cell cycle microarray data,learning (artificial intelligence),genetics,time series microarray data,yeast gene regulatory networks,network topology,reverse engineering,bayesian data integration,biology computing,monte carlo methods,markov processes,dynamic bayesian networks modeling,reversible jump markov chain monte carlo algorithm,testing,bayesian methods,gene regulatory network,learning artificial intelligence,bayesian learning,graphical model,cell cycle,dynamic bayesian network,data integrity,time series,graphical models,microarray data,time measurement | Variable-order Bayesian network,Bayesian inference,Markov process,Computer science,Reversible-jump Markov chain Monte Carlo,Artificial intelligence,Graphical model,Gene regulatory network,Machine learning,Dynamic Bayesian network,Bayesian probability | Conference |
Volume | ISSN | ISBN |
2 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
4 | 0.65 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayin Wang | 1 | 26 | 7.24 |
| Yufei Huang | 2 | 262 | 43.28 |
| Maribel Sanchez | 3 | 4 | 0.65 |
| Yufeng Wang | 4 | 51 | 14.37 |
| Jianqiu Zhang | 5 | 101 | 19.93 |