학술논문
DA 1.0: parameter estimation of biological pathways using data assimilation approach
Document Type
Academic Journal
Source
Bioinformatics. Jul 15, 2010 26(14):1794-1796
Subject
Language
English
ISSN
1367-4803
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.Availability and Implementation: DA 1.0 was developed using Java and thus would be executable on any platform installed with JDK 6.0 (not JRE 6.0) or later. DA 1.0 is freely available for academic users and can be launched or downloaded from http://da.csml.org.