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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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Garbulowski, Mateusz, Diamanti, Klev, Smolińska, Karolina, Baltzer, Nicholas, Stoll, Patricia, Bornelöv, Susanne, Øhrn, Aleksander, Feuk, Lars, Komorowski, Jan
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2021
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Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7937228/
https://ncbi.nlm.nih.gov/pubmed/33676405
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04049-z
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