Aug 232014
 

AutoSOME 2.0

:: DESCRIPTION

AutoSOME (Automatic clustering of density-equalized self-organizing map ensembles) is a new unsupervised multidimensional clustering method for identifying clusters of diverse shapes and sizes from large numerical datasets without prior knowledge of cluster number. Given the general nature of data clustering, AutoSOME has utility for a wide range of applications, including whole-genome co-expression and transcriptome analysis.

::DEVELOPER

Cooper Lab

:: SCREENSHOTS

AutoSOME

:: REQUIREMENTS

  • Linux /  MacOsX/ Windows
  • Java

:: DOWNLOAD

  AutoSOME

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2010 Mar 4;11:117. doi: 10.1186/1471-2105-11-117.
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number.
Newman AM, Cooper JB.

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