| Parameter Estimation Using Meta-Heuristics in Systems Biology: A Comprehensive Review. | |
| | |
MedLine Citation:
|
PMID: 21464505 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
This paper gives a comprehensive review of the application of meta-heuristics to optimization problems in systems biology, mainly focussing on the parameter estimation problem (also called the inverse problem or model calibration). It is intended for either the system biologist who wishes to learn more about the various optimization techniques available and/or the meta-heuristic optimizer who is interested in applying such techniques to problems in systems biology. First, the parameter estimation problems emerging from different areas of systems biology are described from the point of view of machine learning. Brief descriptions of various meta-heuristics developed for these problems follow, along with outlines of their advantages and disadvantages. Several important issues in applying meta-heuristics to the systems biology modelling problem are addressed, including the reliability and identifiability of model parameters, optimal design of experiments, and so on. Finally, we highlight some possible future research directions in this field. |
| | |
Authors:
|
Jianyong Sun; Jonathan M Garibaldi; Charlie Hodgman |
Related Documents
:
|
20607135 - Head segmentation in vertebrates. 11234865 - Problems with the sickness impact profile: a theoretically based analysis and a proposa... 2599785 - Stress-related problems of dentists. 19778755 - The utility of considering interpersonal problems in the assessment of bulimic features. 10735995 - Serovars of mycobacterium avium complex isolated from aids and non-aids patients in spain. 17364385 - Putting on a brave face: the experiences of women living with hiv and aids in informal ... |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-3-22 |
Journal Detail:
|
Title: IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM Volume: - ISSN: 1557-9964 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
|
Created Date: 2011-4-5 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101196755 Medline TA: IEEE/ACM Trans Comput Biol Bioinform Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
|
The University of Nottingham, Sutton Bonington. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Causal Inference on Discrete Data using Additive Noise Models.
Next Document: Memory Efficient Algorithms for Structural Alignment of RNAs with Pseudoknots.