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KODAMA (version 2.4.1)
Knowledge Discovery by Accuracy Maximization
Description
An unsupervised and semi-supervised learning algorithm that performs feature extraction
from noisy and high-dimensional data. It facilitates identification of patterns representing underlying
groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA.
(2017) Bioinformatics and Cacciatore S, Luchinat C, Tenori L. (2014)
Proc Natl Acad Sci USA .
