DyCluster statistics

info info

Citations per year

info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Protein complex prediction chevron_right
Want to access the full stats & trends on this tool?

DyCluster specifications

Information


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

Download


download.png

Versioning


No version available

Maintainer


  • person_outline Eileen Hanna

Publication for DyCluster

DyCluster citations

 (2)
library_books

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

2017
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 […]

library_books

Construction of dynamic probabilistic protein interaction networks for protein complex identification

2016
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 […]


Want to access the full list of citations?
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.

DyCluster reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review DyCluster