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PMID: 12837611 Published · ppublish English Journal Article

From the top down: towards a predictive biology of signalling networks.

Trends in biotechnology ·Vol. 21 ·No. 7 ·2003-07-00 ·Pages 290-3

Stark J, Callard R, Hubank M

Abstract

True quantitative and predictive biology requires the ability to interpret increasingly complex datasets in new ways to reveal underlying functional interactions. This has come a step closer with two recent articles that describe a 'top-down' modelling approach to reconstructing functional networks from microarray data.

MeSH Terms
Computer Simulation Gene Expression Profiling/methods Gene Expression Regulation/physiology Models, Biological Oligonucleotide Array Sequence Analysis/methods Proteomics/methods Signal Transduction/physiology
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Stark Jaroslav
Department of Mathematics, Imperial College London, London, UK SW7 2AZ. [email protected]
Callard Robin
Hubank Michael
Article Info
Journal
Trends in biotechnology
Abbr.
Trends Biotechnol
ISSN
0167-7799
DOI
10.1016/S0167-7799(03)00140-9
Email
[email protected]
Published
2003-07-00
Pages
290-3
Language
English
Region
England
NLM ID
8310903
Subset
IM
External Links
PubMed source DOI: 10.1016/S0167-7799(03)00140-9 View journal details
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