Sep 122012
 

SCG 20110716

:: DESCRIPTION

SCG clusters whose members are closer in rank to each other than to any member outside the cluster. SCG does not take any additional parameters and consequently does not impose any restriction on the size or the number of the clusters that it finds, since the natural boundaries of clusters are determined by the inconsistencies in the ranks.

::DEVELOPER

Grishin Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 SCG 

:: MORE INFORMATION

Citation:

Bong-Hyun Kim, Bhadrachalam Chitturi and Nick V Grishin.
Self consistency grouping: a stringent clustering method
BMC Bioinformatics 2012, 13(Suppl 13):S3.

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