DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization-Reference-Cited by-同舟云学术

DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization

Published:2017-12-23 Issue:9 Volume:34 Page:1597-1599
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Li Min¹,Yang Jie¹,Wu Fang-Xiang²,Pan Yi³,Wang Jianxin¹

Affiliation:

1. School of Information Science and Engineering, Central South University, Changsha, China

2. Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada

3. Department of Computer Science, Georgia State University, Atlanta, GA, USA

Funder

National Natural Science Foundation of China

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/34/9/1597/25120927/btx821.pdf

Reference12 articles.

1. An automated method for finding molecular complexes in large protein interaction networks;Bader;BMC Bioinformatics,2003

2. TVNViewer: an interactive visualization tool for exploring networks that change over time or space;Curtis;Bioinformatics,2011

3. DyNet: visualization and analysis of dynamic molecular interaction networks;Goenawan;Bioinformatics,2016

4. Characterizing and controlling the inflammatory network during influenza A virus infection;Jin;Sci. Rep,2015

5. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data;Li;BMC Bioinformatics,2012

Cited by 27 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. Inferring cell cycle phases from a partially temporal network of protein interactions;Cell Reports Methods;2023-02

2. Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context;Frontiers in Molecular Biosciences;2022-09-08

3. LargeNetVis: Visual Exploration of Large Temporal Networks Based On Community Taxonomies;IEEE Transactions on Visualization and Computer Graphics;2022

4. Analysis of dynamic molecular networks: the progression from colorectal adenoma to cancer;Journal of Gastrointestinal Oncology;2021-12

5. Introducing the novel Cytoscape app TimeNexus to analyze time-series data using temporal MultiLayer Networks (tMLNs);Scientific Reports;2021-07-01