DoGeNetS: using optimisation to discriminate regulatory network topologies based on gene expression data-Reference-Cited by-同舟云学术

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DoGeNetS: using optimisation to discriminate regulatory network topologies based on gene expression data

Published:2012 Issue:1 Volume:6 Page:1
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET Syst. Biol.

Author:

Camargo-Rodriguez A.V.,Kim J.T.

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-syb.2011.0004?crawler=true&mimetype=application/pdf

Reference50 articles.

1. Gene regulatory networks

2. Transcription factors: An overview

3. Inter- and intra-combinatorial regulation by transcription factors and microRNAs

4. Recent advances and emerging trends in plant hormone signalling

5. The chemical basis of morphogenesis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrative Modelling of Gene Expression and Digital Phenotypes to Describe Senescence in Wheat;Genes;2021-06-11

2. Reverse engineering gene regulatory networks: Coupling an optimization algorithm with a parameter identification technique;BMC Bioinformatics;2014-12

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