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KODAMA: an R package for knowledge discovery and data mining.


ABSTRACT: KODAMA, a novel learning algorithm for unsupervised feature extraction, is specifically designed for analysing noisy and high-dimensional datasets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The package requires no additional software and runs on all major platforms.KODAMA is freely available from the R archive CRAN ( http://cran.r-project.org ). The software is distributed under the GNU General Public License (version 3 or later).s.cacciatore@imperial.ac.uk.Supplementary data are available at Bioinformatics online.

SUBMITTER: Cacciatore S 

PROVIDER: S-EPMC5408808 | biostudies-other | 2017 Feb

REPOSITORIES: biostudies-other

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KODAMA: an R package for knowledge discovery and data mining.

Cacciatore Stefano S   Tenori Leonardo L   Luchinat Claudio C   Bennett Phillip R PR   MacIntyre David A DA  

Bioinformatics (Oxford, England) 20170201 4


<h4>Summary</h4>KODAMA, a novel learning algorithm for unsupervised feature extraction, is specifically designed for analysing noisy and high-dimensional datasets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The package requires no additional software and runs on all major platforms.<h4>Availability and implementation</h4>KODAMA is freely available from the R archive CRAN ( http://cran.r-project.org ). The s  ...[more]

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