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

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
Citation:	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
Appears in Collections:	Staff Publications

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