MCF: A tool to find multi-scale community profiles in biological networks |
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Authors: | Shang Gao Alan Chen Ali Rahmani Tamer Jarada Reda Alhajj Doug Demetrick Jia Zeng |
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Affiliation: | 1. Department of Computer Science, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada;2. Department of Computer Science, Global University, Beirut, Lebanon;3. Department of Pathology, Oncology and Biochemistry & Molecular Biology, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, Canada;4. Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, USA |
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Abstract: | Recent developments of complex graph clustering methods have implicated the practical applications with biological networks in different settings. Multi-scale Community Finder (MCF) is a tool to profile network communities (i.e., clusters of nodes) with the control of community sizes. The controlling parameter is referred to as the scale of the network community profile. MCF is able to find communities in all major types of networks including directed, signed, bipartite, and multi-slice networks. The fast computation promotes the practicability of the tool for large-scaled analysis (e.g., protein–protein interaction and gene co-expression networks). MCF is distributed as an open-source C++ package for academic use with both command line and user interface options, and can be downloaded at http://bsdxd.cpsc.ucalgary.ca/MCF. Detailed user manual and sample data sets are also available at the project website. |
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Keywords: | Network community Multi-scale network modularity Metabolic network |
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