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Volumn , Issue , 2012, Pages 1423-1424

Gene regulatory Network reverse engineering using Population Based Incremental Learning and K-means

Author keywords

Bioinformatics; Estimation of distribution; Gene regulation network; Population based incremental learning

Indexed keywords

BIOINFORMATICS; GENES; MOLECULAR BIOLOGY; REVERSE ENGINEERING;

EID: 84864989351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330784.2330965     Document Type: Conference Paper
Times cited : (6)

References (7)
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    • Cho, D.-Y.1    Cho, K.-H.2    Zhang, B.-T.3
  • 2
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    • (2010) BMC Bioinformatics , vol.11 , Issue.SUPPL. 1
    • Kabir, M.1    Noman, N.2    Iba, H.3
  • 3
    • 36248948496 scopus 로고    scopus 로고
    • Inferring gene regulatory networks using differential evolution with local search heuristics
    • DOI 10.1109/TCBB.2007.1058
    • N. Noman and H. Iba. Inferring gene regulatory networks using differential evolution with local search heuristics. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM, 4(4):634-47, 2007. (Pubitemid 350125886)
    • (2007) IEEE/ACM Transactions on Computational Biology and Bioinformatics , vol.4 , Issue.4 , pp. 634-647
    • Noman, N.1    Iba, H.2
  • 4
    • 4143058645 scopus 로고    scopus 로고
    • Gene networks inference using dynamic Bayesian networks
    • DOI 10.1093/bioinformatics/btg1071
    • B.-E. Perrin, L. Ralaivola, A. Mazurie, S. Bottani, J. Mallet, and F. D'Alche-Buc. Gene networks inference using dynamic Bayesian networks. Bioinformatics, 19(Suppl 2):ii138-ii148, Oct. 2003. (Pubitemid 41296650)
    • (2003) Bioinformatics , vol.19 , Issue.SUPPL. 2
    • Perrin, B.-E.1    Ralaivola, L.2    Mazurie, A.3    Bottani, S.4    Mallet, J.5    D'Alche-Buc, F.6
  • 5
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    • Extending population-based incremental learning to continuous search spaces
    • Parallel Problems Solving from Nature - PPSN V
    • M. Sebag and A. Ducoulombier. Extending population-based incremental learning to continuous search spaces. In Parallel Problem Solving from Nature, pages 418-427. Springer, 1998. (Pubitemid 128145972)
    • (1998) Lecture Notes in Computer Science , Issue.1498 , pp. 418-427
    • Sebag, M.1    Ducoulombier, A.2
  • 6
    • 0035082045 scopus 로고    scopus 로고
    • Neural network model of gene expression
    • DOI 10.1096/fj.00-0361com
    • J. Vohradský. Neural network model of gene expression. The FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 15(3):846-54, Mar. 2001. (Pubitemid 32246003)
    • (2001) FASEB Journal , vol.15 , Issue.3 , pp. 846-854
    • Vohradsky, J.1
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    • Inference of genetic regulatory networks with recurrent neural network models using particle swarm optimization
    • DOI 10.1109/TCBB.2007.1057
    • R. Xu, I. I. Donald Wunsch, and R. Frank. Inference of genetic regulatory networks with recurrent neural network models using particle swarm optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, pages 681-692, 2007. (Pubitemid 350125889)
    • (2007) IEEE/ACM Transactions on Computational Biology and Bioinformatics , vol.4 , Issue.4 , pp. 681-692
    • Xu, R.1    Wunsch II, D.C.2    Frank, R.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.