ClearF++: Improved Supervised Feature Scoring Using Feature Clustering in Class-Wise Embedding and Reconstruction

Feature selection methods are essential for accurate disease classification and identifying informative biomarkers. While information-theoretic methods have been widely used, they often exhibit limitations such as high computational costs. Our previously proposed method, ClearF, addresses these issu...

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Detalles Bibliográficos
Autores principales: Wang, Sehee, Kim, So Yeon, Sohn, Kyung-Ah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376817/
https://www.ncbi.nlm.nih.gov/pubmed/37508851
http://dx.doi.org/10.3390/bioengineering10070824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376817/
https://www.ncbi.nlm.nih.gov/pubmed/37508851
http://dx.doi.org/10.3390/bioengineering10070824

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