Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

Abstract Background Calcific aortic valve stenosis (CAVS) is a fatal disease and there is no pharmacological treatment to prevent the progression of CAVS. This study aims to identify genes potentially implicated with CAVS in patients with congenital bicuspid aortic valve (BAV) and tricuspid aortic v...

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Bibliographic Details
Main Authors: Erika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BioData Mining
Subjects:
Machine learning
Calcific aortic valve disease
Random Forest
Prior-knowledge
Gene-selection
Online Access:https://doi.org/10.1186/s13040-021-00269-4

Internet

https://doi.org/10.1186/s13040-021-00269-4

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