KODAMA (version 2.4)

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 .

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Install

install.packages('KODAMA')

Monthly Downloads

417

Version

2.4

License

GPL (>= 2)

Last Published

January 12th, 2023

Functions in KODAMA (2.4)