LAS – Finding Large Average Submatricies in High Dimensional Data

LAS

:: DESCRIPTION

LAS (Large Average Submatricies) is a statistically motivated biclustering method that finds large average submatrices within a given real-valued data matrix

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::DEVELOPER

Andrey A. Shabalin

:: SCREENSHOTS

::REQUIREMENTS

:: DOWNLOAD

 LAS

:: MORE INFORMATION

Citation

Andrey A. Shabalin et al.
Finding Large Average Submatricies in High Dimensional Data
Annals of Applied Statistics 2009, Vol. 3, No. 3, 985-1012

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