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DyCluster specifications


Unique identifier OMICS_19682
Name DyCluster
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Maintained Yes




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  • person_outline Eileen Hanna

Publication for DyCluster

DyCluster citations


A density based approach for detecting complexes in weighted PPI networks by semantic similarity

PLoS One
PMCID: 5507511
PMID: 28704455
DOI: 10.1371/journal.pone.0180570

[…] a fuzzy clustering algorithm, in which it establishes the fuzzy relationship between proteins and transforms it into some certain equivalence relation. This method can identify overlapping proteins. DyCluster[] proposed a framework to model dynamic protein networks, it first construct a framework to identify protein complexes, and then detects complexes by clustering in a dynamic networks.The exi […]


Construction of dynamic probabilistic protein interaction networks for protein complex identification

BMC Bioinformatics
PMCID: 4847341
PMID: 27117946
DOI: 10.1186/s12859-016-1054-1

[…] tion coefficient to calculate the coexpression correlation of gene expression data and built coexpression protein networks at different time points. Recently, Hanna et al. proposed a framework termed DyCluster to detect complexes based on PPI networks and gene expression data []. Firstly, DyCluster uses biclustering techniques to model the dynamic aspect of PPI networks by incorporating gene expre […]

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DyCluster institution(s)
Intelligent Systems, College of Info. Tech., United Arab Emirates University, Al Ain, United Arab Emirates; Department of Biology, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates; Faculty of Science, Cairo University, Cairo, Egypt
DyCluster funding source(s)
Partially supported by grants ref. no. 31T052 and 31S118 from United Arab Emirates University Program for Advance Research (UPAR) and 21S088-Terry Fox Foundation, United Arab Emirates.

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