DA 1.0: parameter estimation of biological pathways using data assimilation approach-Reference-Cited by-同舟云学术

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

Published:2010-05-26 Issue:14 Volume:26 Page:1794-1796
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Koh Chuan Hock,Nagasaki Masao,Saito Ayumu,Wong Limsoon,Miyano Satoru

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/26/14/1794/16894235/btq276.pdf

Reference7 articles.

1. Executable cell biology;Fisher;Nat. Biotechnol.,2007

2. Genomic Object Net: I. A platform for modeling and simulating biopathways;Nagasaki;Appl. Bioinform.,2003

3. A versatile Petri net based architecture for modeling and simulation of complex biological processes;Nagasaki;Genome Inform.,2004

4. Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data;Nagasaki;Genome Inform.,2006

5. Parameter estimation of in silico biological pathways with particle filtering towards a petascale computing;Nakamura;Pac. Symp. Biocomput.,2009

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Connection and Curation of Corpus (Labeled and Unlabeled);Transactions on Computer Systems and Networks;2024

2. Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks;BMC Systems Biology;2015-03-13

3. An Efficient Data Assimilation Schema for Restoration and Extension of Gene Regulatory Networks Using Time-Course Observation Data;Journal of Computational Biology;2014-11

4. An efficient method of exploring simulation models by assimilating literature and biological observational data;Biosystems;2014-07

5. USING AN IMPROVED BEE MEMORY DIFFERENTIAL EVOLUTION ALGORITHM FOR PARAMETER ESTIMATION TO SIMULATE BIOCHEMICAL PATHWAYS;Journal of Biological Systems;2014-03