Title
DA 1.0: parameter estimation of biological pathways using data assimilation approach.
Abstract
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.
Year
DOI
Venue
2010
10.1093/bioinformatics/btq276
BIOINFORMATICS
Keywords
DocType
Volume
parameter estimation,data assimilation
Journal
26
Issue
ISSN
Citations 
14
1367-4803
7
PageRank 
References 
Authors
0.58
1
5
Name
Order
Citations
PageRank
Chuan Hock Koh1634.45
Masao Nagasaki236826.22
Ayumu Saito31077.23
Limsoon Wong43628638.37
Satoru Miyano52406250.71