Computational Biology and Chemistry
An Algorithm to Find Overlapping Community Structure in Networks
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
CDPM: Finding and Evaluating Community Structure in Social Networks
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
A Fast Algorithm to Find Overlapping Communities in Networks
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Detecting Overlapping Community Structures in Networks
World Wide Web
Overlapped community detection in complex networks
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
VisNetMiner: An Integration Tool for Visualization and Analysis of Networks
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
JCCM: Joint Cluster Communities on Attribute and Relationship Data in Social Networks
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Identifying the overlapping complexes in protein interaction networks
International Journal of Data Mining and Bioinformatics
A graph-theoretic method for mining overlapping functional modules in protein interaction networks
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Detecting overlapping community structures in networks with global partition and local expansion
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Discovering overlapping modules and bridge proteins in proteomic networks
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Analysing structure in complex networks using quality functions evolved by genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
Occupational exposome: A network-based approach for characterizing Occupational Health Problems
Journal of Biomedical Informatics
FRINGE: a new approach to the detection of overlapping communities in graphs
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
Computational Biology and Chemistry
Information Sciences: an International Journal
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Fuse: towards multi-level functional summarization of protein interaction networks
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
ISBRA'10 Proceedings of the 6th international conference on Bioinformatics Research and Applications
Complex detection based on integrated properties
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
A Coclustering Approach for Mining Large Protein-Protein Interaction Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
EvoBIO'12 Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks
Proceedings of the 14th annual conference on Genetic and evolutionary computation
ProRank: a method for detecting protein complexes
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Dynamic communities and their detection
Acta Cybernetica
Community detection by using the extended modularity
Acta Cybernetica
Review of statistical network analysis: models, algorithms, and software
Statistical Analysis and Data Mining
Detecting protein complexes from noisy protein interaction data
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics
International Journal of Bioinformatics Research and Applications
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Mining from protein–protein interactions
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Protein complex prediction via bottleneck-based graph partitioning
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics
Percolation Computation in Complex Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Semantically predicting protein functions based on protein functional connectivity
Computational Biology and Chemistry
Online search of overlapping communities
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
A supervised approach to detect protein complex by combining biological and topological properties
International Journal of Data Mining and Bioinformatics
OverCite: finding overlapping communities in citation network
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Improving protein complex classification accuracy using amino acid composition profile
Computers in Biology and Medicine
Active learning for protein function prediction in protein-protein interaction networks
PRIB'13 Proceedings of the 8th IAPR international conference on Pattern Recognition in Bioinformatics
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Summary: Most cellular tasks are performed not by individual proteins, but by groups of functionally associated proteins, often referred to as modules. In a protein assocation network modules appear as groups of densely interconnected nodes, also called communities or clusters. These modules often overlap with each other and form a network of their own, in which nodes (links) represent the modules (overlaps). We introduce CFinder, a fast program locating and visualizing overlapping, densely interconnected groups of nodes in undirected graphs, and allowing the user to easily navigate between the original graph and the web of these groups. We show that in gene (protein) association networks CFinder can be used to predict the function(s) of a single protein and to discover novel modules. CFinder is also very efficient for locating the cliques of large sparse graphs. Availability: CFinder (for Windows, Linux and Macintosh) and its manual can be downloaded from http://angel.elte.hu/clustering. Supplementary information: Supplementary data are available on Bioinformatics online. Contact: cfinder@angel.elte.hu