KODAMA: an R package for knowledge discovery and data mining

SUMMARY: 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 packag...

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Detalles Bibliográficos
Autores principales: Cacciatore, Stefano, Tenori, Leonardo, Luchinat, Claudio, Bennett, Phillip R, MacIntyre, David A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408808/
https://www.ncbi.nlm.nih.gov/pubmed/27993774
http://dx.doi.org/10.1093/bioinformatics/btw705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408808/
https://www.ncbi.nlm.nih.gov/pubmed/27993774
http://dx.doi.org/10.1093/bioinformatics/btw705

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