R.ROSETTA: an interpretable machine learning framework

BACKGROUND: Machine learning involves strategies and algorithms that may assist bioinformatics analyses in terms of data mining and knowledge discovery. In several applications, viz. in Life Sciences, it is often more important to understand how a prediction was obtained rather than knowing what pre...

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Detalles Bibliográficos
Autores principales: Garbulowski, Mateusz, Diamanti, Klev, Smolińska, Karolina, Baltzer, Nicholas, Stoll, Patricia, Bornelöv, Susanne, Øhrn, Aleksander, Feuk, Lars, Komorowski, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937228/
https://www.ncbi.nlm.nih.gov/pubmed/33676405
http://dx.doi.org/10.1186/s12859-021-04049-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7937228/
https://www.ncbi.nlm.nih.gov/pubmed/33676405
http://dx.doi.org/10.1186/s12859-021-04049-z

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