DA 1.0
:: DESCRIPTION
DA (Data Assimilation) 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 which approximates the joint posterior distributions of parameters by using sequentially-generated Monte Carlo samples. In this paper, 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.
::DEVELOPER
Masao Nagasaki Ph.D. Assistant Professor
:: SCREENSHOTS
:: REQUIREMENTS
- Windows / Linux / Mac OsX
- java
:: DOWNLOAD
:: MORE INFORMATION
Citation
Chuan Hock Koh, Masao Nagasaki, Ayumu Saito, Limsoon Wong and Satoru Miyano
DA 1.0: parameter estimation of biological pathways using data assimilation approach
Bioinformatics (2010) 26 (14): 1794-1796