SCOPUS 정보 검색 플랫폼

Volumn 4062 LNAI, Issue , 2006, Pages 402-407

Gene regulatory network construction using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM)

Author keywords

Dynamic Bayesian network; Gene regulatory network; Microarray; Structural expectation maximization

Indexed keywords

CELLS; DATA REDUCTION; DYNAMIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS; TIME SERIES ANALYSIS;

DYNAMIC BAYESIAN NETWORKS (DBN); GENE REGULATORY NETWORKS; MICROARRAYS; STRUCTURAL EXPECTATION MAXIMIZATION (SEM);

NEURAL NETWORKS;

EID: 33746752091 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/11795131_58 Document Type: Conference Paper

Times cited : (4)

References (8)

1
- 3042738945
- Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data
- Kim, S., Imoto, S., Miyano, S.:Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data. Biosystems. 75 (2004) 57-65
- (2004) Biosystems , vol.75 , pp. 57-65
- Kim, S.¹ Imoto, S.² Miyano, S.³

2
- 0031616241
- REVEAL a general reverse engineering algorithm for inference of genetic network architectures
- Liang, S., Fuhrman, S., Somoyi, R.: REVEAL a general reverse engineering algorithm for inference of genetic network architectures. Proceedings of Pacific Symposium on Biocomputing. (1998) 18-29
- (1998) Proceedings of Pacific Symposium on Biocomputing , pp. 18-29
- Liang, S.¹ Fuhrman, S.² Somoyi, R.³

3
- 84941165259
- Linear modeling of mRNA expression levels during CNS development and injury
- D'haeseleer, P., Wen, X., Fuhrman, S., Somogyi, R.: Linear modeling of mRNA expression levels during CNS development and injury. Proceedings of Pacific Symposium on Biocomputing. (1998) 18-29
- (1998) Proceedings of Pacific Symposium on Biocomputing , pp. 18-29
- D'Haeseleer, P.¹ Wen, X.² Fuhrman, S.³ Somogyi, R.⁴

4
- 0033707946
- Using Bayesian networks to analyze ex-pression data
- Friedman, N., Linial, M., Nachman, I., Pe'er, D.:Using Bayesian networks to analyze ex-pression data. Computational Biology. 73 (2000) 601-620
- (2000) Computational Biology , vol.73 , pp. 601-620
- Friedman, N.¹ Linial, M.² Nachman, I.³ Pe'Er, D.⁴

5
- 0004158155
- Murphy, K., Mian, and S.(Eds.): Technology Report,Computer Science Division, University of California Berkeley, CA
- Murphy, K., Mian, and S.(Eds.): Modelling gene expression data using dynamic Bayesian networks.. Technology Report,Computer Science Division, University of California Berkeley, CA(1999).
- (1999) Modelling Gene Expression Data Using Dynamic Bayesian Networks

6
- 0031742022
- Comprehensive identification of cell cycle-regulated genes of the yeast Saccaromyces Cerevisiae by microarray hybridization
- Spellman, P.T., Sherlock, G., Zhang, M.Q., Iyer, V.R., Aders, K., Eisen, M.B., Brown, P.O., Botstein, D., Futcher, B.: Comprehensive identification of cell cycle-regulated genes of the yeast Saccaromyces Cerevisiae by microarray hybridization.Mol.Biol.Cell. 9 (1998) 3273-3297
- (1998) Mol.Biol.Cell. , vol.9 , pp. 3273-3297
- Spellman, P.T.¹ Sherlock, G.² Zhang, M.Q.³ Iyer, V.R.⁴ Aders, K.⁵ Eisen, M.B.⁶ Brown, P.O.⁷ Botstein, D.⁸ Futcher, B.⁹

7
- 14644401169
- Reconstructing gene regulatory networks from time-series microarray data
- Li, S.P., Tseng, J.J., Wang, S.C.Reconstructing gene regulatory networks from time-series microarray data. Physica A. 350 (2005) 63-69
- (2005) Physica A , vol.350 , pp. 63-69
- Li, S.P.¹ Tseng, J.J.² Wang, S.C.³

8
- 0000854197
- Learning the structure of dynamic probabilistic networks
- Friedman, N., Murphy, K., Russell, S.:Learning the structure of dynamic probabilistic networks.Proc Conf. Uncertainty in Aritif. Intell. . (1998) 139-147
- (1998) Proc Conf. Uncertainty in Aritif. Intell. , pp. 139-147
- Friedman, N.¹ Murphy, K.² Russell, S.³

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