Graph convolutional network-based feature selection for high-dimensional and low-sample size data

MOTIVATION: Feature selection is a powerful dimension reduction technique which selects a subset of relevant features for model construction. Numerous feature selection methods have been proposed, but most of them fail under the high-dimensional and low-sample size (HDLSS) setting due to the challen...

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Detalles Bibliográficos
Autores principales: Chen, Can, Weiss, Scott T, Liu, Yang-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126323/
https://www.ncbi.nlm.nih.gov/pubmed/37084264
http://dx.doi.org/10.1093/bioinformatics/btad135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126323/
https://www.ncbi.nlm.nih.gov/pubmed/37084264
http://dx.doi.org/10.1093/bioinformatics/btad135

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