Inferring gene regulatory networks from multiple microarray datasets-Reference-Cited by-同舟云学术

Inferring gene regulatory networks from multiple microarray datasets

Published:2006-07-24 Issue:19 Volume:22 Page:2413-2420
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Wang Yong,Joshi Trupti,Zhang Xiang-Sun,Xu Dong,Chen Luonan

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/22/19/2413/18529447/btl396.pdf

Reference33 articles.

1. Inferring qualitative relations in genetic networks and metabolic pathways;Akutsu;Bioinformatics,2000

2. Hyperosmotic stress response and regulation of cell wall integrity in saccharomyces cerevisiae share common functional aspects;Alonso-Monge;Mol. Microbiol.,2001

3. Reverse engineering of regulatory networks in human B cells;Basso;Nat. Genet.,2005

4. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors;Beal;Bioinformatics,2005

5. Stability and bifurcation analysis of differential-difference-algebraic equations;Chen;IEEE Trans. Circuits Syst. I,2001

Cited by 236 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. NJGCG: A node-based joint Gaussian copula graphical model for gene networks inference across multiple states;Computational and Structural Biotechnology Journal;2024-12

2. GBTM: Community detection and network reconstruction for noisy and time-evolving data;Information Sciences;2024-09

3. Duality between predictability and reconstructability in complex systems;Nature Communications;2024-05-25

4. Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data;Nature Biotechnology;2024-04-12

5. PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization;Genome Biology;2024-04-08