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Volumn , Issue , 2009, Pages 487-490

Gene regulatory network inference using predictive minimum description length principle and conditional mutual information

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; CONDITIONAL MUTUAL INFORMATION; GENE REGULATORY NETWORKS; INFERENCE ALGORITHM; MICROARRAY DATA; MINIMUM DESCRIPTION LENGTH; MINIMUM DESCRIPTION LENGTH PRINCIPLE; MUTUAL INFORMATIONS; REGULATORY RELATIONSHIPS; SYNTHETIC NETWORKS;

EID: 70450169069     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCBS.2009.133     Document Type: Conference Paper
Times cited : (15)

References (10)
  • 3
    • 33748654580 scopus 로고    scopus 로고
    • Inferring gene regulatory networks from time series data using the minimum description length principle
    • Wentao Zhao, Serpedin E, Dougherty E R, "Inferring gene regulatory networks from time series data using the minimum description length principle", 2006, Bioinformatics, Vol. 22 No.17.
    • (2006) Bioinformatics , vol.22 , Issue.17
    • Wentao, Z.1    Serpedin, E.2    Dougherty, E.R.3
  • 6
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen J, "Modeling by shortest data description", 1978, Automatica.
    • (1978) Automatica
    • Rissanen, J.1
  • 8
    • 70450130889 scopus 로고    scopus 로고
    • Gene regulatory network inference: Data integration in dynamic models - A review
    • Hecker M, Lambeck S, Toepfer S, Eugene van Someren, Reinhard Guthke, "Gene regulatory network inference: Data integration in dynamic models-A review", 2008, Bio Systems.
    • (2008) Bio Systems
    • Hecker, M.1    Lambeck, S.2    Toepfer, S.3    Van Someren, E.4    Guthke, R.5
  • 9
    • 79956332226 scopus 로고    scopus 로고
    • Helsinki Institute for Information Technology, Tampere and Helsinki Universities of Technology, Finland, and University of London, England, unpublished
    • Rissanen J, "An introduction to the MDL principle", 2006, Helsinki Institute for Information Technology, Tampere and Helsinki Universities of Technology, Finland, and University of London, England. (http://www. mdlresearch.org/jorma.rissanen/pub/Intro.pdf), unpublished.
    • (2006) An Introduction to the MDL Principle
    • Rissanen, J.1
  • 10
    • 26944457320 scopus 로고    scopus 로고
    • An algorithm to learn causal relations between genes from steady state data: Simulation and its application to melanoma dataset
    • Aberdeen, Scotland
    • Zhang X, Baral C, Kim S, "An algorithm to learn causal relations between genes from steady state data: simulation and its application to melanoma dataset", 2005, Proceedings of 10th Conference on Artificial Intelligence in Medicine (AIME 05), Aberdeen, Scotland, 524-534.
    • (2005) Proceedings of 10th Conference on Artificial Intelligence in Medicine (AIME 05) , pp. 524-534
    • Zhang, X.1    Baral, C.2    Kim, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.