KODAMA

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 doi:10.1093/bioinformatics/btw705 and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA doi:10.1073/pnas.1220873111.