Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btq276
Title: DA 1.0: Parameter estimation of biological pathways using data assimilation approach
Authors: Koh, C.H.
Nagasaki, M.
Saito, A.
Wong, L. 
Miyano, S.
Issue Date: 2010
Source: Koh, C.H., Nagasaki, M., Saito, A., Wong, L., Miyano, S. (2010). DA 1.0: Parameter estimation of biological pathways using data assimilation approach. Bioinformatics 26 (14) : 1794-1796. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btq276
Abstract: Summary: Data assimilation (DA) is a computational approach that estimates unknown parameters in a pathway model using time-course information. Particle filtering, the underlying method used, is a well-established statistical method that approximates the joint posterior distributions of parameters by using sequentially generated Monte Carlo samples. In this article, we report the release of Java-based software (DA 1.0) with an intuitive and user-friendly interface to allow users to carry out parameters estimation using DA. © The Author 2010.
Source Title: Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/39759
ISSN: 13674803
DOI: 10.1093/bioinformatics/btq276
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