Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information-Reference-Cited by-同舟云学术

Inference of Regulatory Gene Interactions from Expression Data Using Three-Way Mutual Information

Published:2009-03 Issue:1 Volume:1158 Page:302-313
ISSN:0077-8923
Container-title:Annals of the New York Academy of Sciences
language:en
Short-container-title:

Author:

Watkinson John,Liang Kuo-ching,Wang Xiadong,Zheng Tian,Anastassiou Dimitris

Publisher

Wiley

Subject

History and Philosophy of Science,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1749-6632.2008.03757.x/fullpdf

Reference26 articles.

1. How to infer gene networks from expression profiles;Bansal;Mol. Syst. Biol.,2007

2. ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context;Margolin;BMC Bioinformatics,2006

3. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements;Butte;Pacific Symposium on Biocomputing,2000

4. Inferring cellular networks using probabilistic graphical models;Friedman;Science (New York, NY),2004

Cited by 66 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. A comparative analysis of mutual information methods for pairwise relationship detection in metagenomic data;BMC Bioinformatics;2024-08-14

2. Optimal entropic properties of SARS-CoV-2 RNA sequences;Royal Society Open Science;2024-01

3. High order expression dependencies finely resolve cryptic states and subtypes in single cell data;2023-12-18

4. Relative Synergy Coefficient: A novel way to detect variable interaction in large dataset;Knowledge-Based Systems;2023-12

5. Higher-Order Interactions and Their Duals Reveal Synergy and Logical Dependence beyond Shannon-Information;Entropy;2023-04-12