Ontology highlight
ABSTRACT:
SUBMITTER: Cacciatore S
PROVIDER: S-EPMC5408808 | biostudies-other | 2017 Feb
REPOSITORIES: biostudies-other
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]