CLICK statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool CLICK
info

Tool usage distribution map

This map represents all the scientific publications referring to CLICK per scientific context
info info

Associated diseases

info

Popular tool citations

chevron_left Gene expression clustering chevron_right
Want to access the full stats & trends on this tool?

CLICK specifications

Information


Unique identifier OMICS_23806
Name CLICK
Alternative name CLuster Identification via Connectivity Kernels
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data Some fingerprint data and similarity data.
Operating system Unix/Linux
Programming languages C
Computer skills Advanced
Maintained No

Versioning


No version available

Maintainers


This tool is not available anymore.

Publication for CLuster Identification via Connectivity Kernels

CLICK citation

library_books

Large scale hierarchical clustering of protein sequences

2005
BMC Bioinformatics
PMCID: 547898
PMID: 15663796
DOI: 10.1186/1471-2105-6-15

[…] es have also been observed in other large data sets such as phone-call or web-link graphs [].An alternative approach for cluster determination is presented by Sharan et al. []. Their CLICK algorithm (Cluster Identification via Connectivity Kernels) uses graph-theoretic and statistical techniques to first identify tight groups of highly similar elements (kernels), which are likely to belong to the […]


Want to access the full list of citations?
CLICK institution(s)
Department of Computer Science, Tel-Aviv University, Tel-Aviv, Israel
CLICK funding source(s)
Supported by an Eshkol fellowship from the Ministry of Science, Israel; by a grant from the Ministry of Science, Israel, and by the Israel Science Foundation formed by the Israel Academy of Sciences and Humanities.

CLICK reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CLICK