Inference of Gene Regulatory Network Based on Local Bayesian Networks-Reference-Cited by-同舟云学术

Inference of Gene Regulatory Network Based on Local Bayesian Networks

Published:2016-08-01 Issue:8 Volume:12 Page:e1005024
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Liu Fei,Zhang Shao-Wu,Guo Wei-Feng,Wei Ze-Gang^ORCID,Chen Luonan

Funder

National Natural Science Foundation of China

The Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference74 articles.

1. Gene regulatory networks for development.;M Levine;Proc Natl Acad Sci USA,2005

2. The efficiency of multi-target drugs: the network approach might help drug design;P Csermely;Trends in Pharmacological Sciences,2005

3. Using Bayesian networks to analyze expression data;N Friedman;Journal of Computational Biology A Journal of Computational Molecular Cell Biology,2000

4. Use of gene networks from full genome microarray libraries to identify functionally relevant drug-affected genes and gene regulation cascades;CJ Savoie;Dna Research,2003

5. Functional Discovery via a Compendium of Expression Profiles;TR Hughes;Cell,2013

Cited by 121 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. Stepwise Bayesian Machine Learning Uncovers a Novel Gene Regulatory Network Component in Neural Tube Development;2024-08-26

2. A stage-driven construction algorithm of undirected independence graph for Bayesian network structure learning;Soft Computing;2024-08-13

3. Gene regulatory network inference with covariance dynamics;Mathematical Biosciences;2024-08

4. Propagation Computation for Mixed Bayesian Networks Using Minimal Strong Triangulation;Mathematics;2024-06-21

5. Gene regulatory network inference from gene expression data based on knowledge matrix and improved rotation forest;Biomedical Signal Processing and Control;2024-06