NDLI: Robust experimental design and feature selection in signal transduction pathway modeling

Content Provider	IEEE Xplore Digital Library
Author	Fei He Brown, M. Hong Yue Lam Fat Yeung
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester (Fei He; Brown, M.) \|\| Electron. Eng. Dept., City Univ. of Hong Kong, Kowloon (Lam Fat Yeung) \|\| Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow (Hong Yue)
Abstract	Due to the general lack of experimental data for biochemical pathway model identification, cell-level time series experimental design is particularly important in current systems biology research. This paper investigates the problem of experimental design for signal transduction pathway modeling, and in particular, focuses on methods for parametric feature selection. An important problem is the estimation of parametric uncertainty which is a function of the true (but unknown) parameters. In this paper, two ldquorobustrdquo feature selection strategies are investigated The first is a mini-max robust experimental design approach, the second is a sampled experimental design method inspired by the Morris global sensitivity analysis. The two approaches are analyzed and interpreted in terms of a generalized optimal experimental design criterion, and their performance has been compared via simulation on the IkappaB-NF-kappaB pathway feature selection problem.
Starting Page	1544
Ending Page	1551
File Size	303751
Page Count	8
File Format	PDF
ISBN	9781424418206
ISSN	10987576
DOI	10.1109/IJCNN.2008.4634001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Joints
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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