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Equation discovery for systems biology: finding the structure and dynamics of biological networks from time course data

Paper ID Volume ID Publish Year Pages File Format Full-Text
16209 42491 2008 9 PDF Available
Title
Equation discovery for systems biology: finding the structure and dynamics of biological networks from time course data
Abstract

Reconstructing biological networks, such as metabolic and signaling networks, is at the heart of systems biology. Although many approaches exist for reconstructing network structure, few approaches recover the full dynamic behavior of a network. We survey such approaches that originate from computational scientific discovery, a subfield of machine learning. These take as input measured time course data, as well as existing domain knowledge, such as partial knowledge of the network structure. We demonstrate the use of these approaches on illustrative tasks of finding the complete dynamics of biological networks, which include examples of rediscovering known networks and their dynamics, as well as examples of proposing models for unknown networks.

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Equation discovery for systems biology: finding the structure and dynamics of biological networks from time course data
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Publisher
Database: Elsevier - ScienceDirect
Journal: Current Opinion in Biotechnology - Volume 19, Issue 4, August 2008, Pages 360–368
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us