English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Sensitivity analysis approaches applied to systems biology models

Zi, Z. (2011). Sensitivity analysis approaches applied to systems biology models. IET Systems Biology, 5(6), 336-346. doi:10.1049/iet-syb.2011.0015.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-A13A-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-A13B-4
Genre: Journal Article

Files

show Files
hide Files
:
Zi.pdf (Publisher version), 283KB
Name:
Zi.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© The Institution of Engineering and Technology 2011
License:
-

Locators

show

Creators

show
hide
 Creators:
Zi, Zhike1, Author              
Affiliations:
1Cell Signaling Dynamics (Zhike Zi), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2117284              

Content

show
hide
Free keywords: With the rising application of systems biology, sensitivity analysis methods have been widely applied to study the biological systems, including metabolic networks, signalling pathways and genetic circuits. Sensitivity analysis can provide valuable insights about how robust the biological responses are with respect to the changes of biological parameters and which model inputs are the key factors that affect the model outputs. In addition, sensitivity analysis is valuable for guiding experimental analysis, model reduction and parameter estimation. Local and global sensitivity analysis approaches are the two types of sensitivity analysis that are commonly applied in systems biology. Local sensitivity analysis is a classic method that studies the impact of small perturbations on the model outputs. On the other hand, global sensitivity analysis approaches have been applied to understand how the model outputs are affected by large variations of the model input parameters. In this review, the author introduces the basic concepts of sensitivity analysis approaches applied to systems biology models. Moreover, the author discusses the advantages and disadvantages of different sensitivity analysis methods, how to choose a proper sensitivity analysis approach, the available sensitivity analysis tools for systems biology models and the caveats in the interpretation of sensitivity analysis results.
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2011-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1049/iet-syb.2011.0015
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: IET Systems Biology
  Other : IET Syst. Biol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Stevenage, Herts, England : IEE
Pages: - Volume / Issue: 5 (6) Sequence Number: - Start / End Page: 336 - 346 Identifier: ISSN: 1751-8849
CoNE: /journals/resource/1000000000018840