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

DOI10.1016/J.COMPBIOLCHEM.2007.03.013zbMath1122.92026OpenAlexW2146621718WikidataQ51910350 ScholiaQ51910350MaRDI QIDQ2459117

Shinuk Kim, Junil Kim, Kwang Hyun Cho

Publication date: 5 November 2007

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2007.03.013

zbMATH Keywords

optimizationnoiseordinary differential equationsgene networksinference

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Biochemistry, molecular biology (92C40) Finite difference and finite volume methods for ordinary differential equations (65L12)

Related Items (3)

Scalable reverse‐engineering of gene regulatory networks from time‐course measurements ⋮ Identifying the target mRNAs of microRNAs in colorectal cancer ⋮ Achieving a global objective with competing networked agents in the framework of discrete event systems

Cites Work

• Unnamed Item
• Unnamed Item
• Inference of signaling and gene regulatory networks by steady-state perturbation experiments: structure and accuracy
• Modeling transcriptional control in gene networks -- methods, recent results, and future directions
• Inferring gene networks from steady-state response to single-gene perturbations
• Improved global exponential stability criteria of cellular neural networks with time-varying delays
• Delay-dependent exponential stability for a class of neural networks with time delays

This page was built for publication: Inferring gene regulatory networks from temporal expression profiles under time-delay and noise