Urinary Metabolic Distinction of Niemann–Pick Class 1 Disease through the Use of Subgroup Discovery

In this investigation, we outline the applications of a data mining technique known as Subgroup Discovery (SD) to the analysis of a sample size-limited metabolomics-based dataset. The SD technique utilized a supervised learning strategy, which lies midway between classificational and descriptive cri...

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Autors principals:	Cristóbal J. Carmona, Manuel German-Morales, David Elizondo, Victor Ruiz-Rodado, Martin Grootveld
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-10-01
Col·lecció:	Metabolites
Matèries:	Niemann–Pick disease type C1 (NPC1) disease NMR analysis NMR-linked metabolomics chemical pathology imbalanced data subgroup discovery
Accés en línia:	https://www.mdpi.com/2218-1989/13/10/1079
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