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KODAMA: Knowledge Discovery by Accuracy Maximization
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>.
Getting started
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Package details |
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| Author | Stefano Cacciatore [aut, trl, cre] (<https://orcid.org/0000-0001-7052-7156>), Leonardo Tenori [aut] (<https://orcid.org/0000-0001-6438-059X>) |
| Maintainer | Stefano Cacciatore <tkcaccia@gmail.com> |
| License | GPL (>= 2) |
| Version | 2.4 |
| Package repository | View on CRAN |
| Installation |
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