DA 1.0: Parameter estimation of biological pathways using data assimilation approach

Bioinformatics

Volumn 26, Issue 14, 2010, Pages 1794-1796

  Koh, Chuan Hock ^a,b,c   Nagasaki, Masao ^c   Saito, Ayumu ^c   Wong, Limsoon ^b   Miyano, Satoru ^c  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COMPUTER PROGRAM; FACTUAL DATABASE; MONTE CARLO METHOD;

DATABASES, FACTUAL; MODELS, BIOLOGICAL; MONTE CARLO METHOD; SOFTWARE;

EID: 77954498298     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq276     Document Type: Article

References (7)

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3. Nagasaki, M. et al. (2004) A versatile Petri net based architecture for modeling and simulation of complex biological processes. Genome Inform., 15, 180-197.
4. Nagasaki, M. et al. (2006) Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data. Genome Inform., 17, 46-61.
5. Nakamura, K. et al. (2009) Parameter estimation of in silico biological pathways with particle filtering towards a petascale computing. Pac. Symp. Biocomput., 14, 227-238.
6. Tasaki, S. et al. (2006) Modeling and estimation of dynamic EGFR pathway by data assimilation approach using time series proteomic data. Genome Inform., 17, 226-238.
7. Yoshida, R. et al. (2008) Bayesian learning of biological pathways on genomic data assimilation. Bioinformatics, 24, 2592-2601.