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Inferring gene regulatory networks from temporal expression profiles under time-delay and noise

Paper ID Volume ID Publish Year Pages File Format Full-Text
15439 1413 2007 7 PDF Available
Title
Inferring gene regulatory networks from temporal expression profiles under time-delay and noise
Abstract

Ordinary differential equations (ODE) have been widely used for modeling and analysis of dynamic gene networks in systems biology. In this paper, we propose an optimization method that can infer a gene regulatory network from time-series gene expression data. Specifically, the following four cases are considered: (1) reconstruction of a gene network from synthetic gene expression data with noise, (2) reconstruction of a gene network from synthetic gene expression data with time-delay, (3) reconstruction of a gene network from synthetic gene expression data with noise and time-delay, and (4) reconstruction of a gene network from experimental time-series data in budding yeast cell cycle.

Keywords
Gene networks; Inference; Optimization; Ordinary differential equations; Noise; Time-delay
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Inferring gene regulatory networks from temporal expression profiles under time-delay and noise
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 31, Issue 4, August 2007, Pages 239–245
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