The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data

Feature selection plays an important role in improving the performance of classification or reducing the dimensionality of high-dimensional datasets, such as high-throughput genomics/proteomics data in bioinformatics. As a popular approach with computational efficiency and scalability, information t...

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Detalles Bibliográficos
Autores principales: Wang, Yangyang, Gao, Xiaoguang, Ru, Xinxin, Sun, Pengzhan, Wang, Jihan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378569/
https://www.ncbi.nlm.nih.gov/pubmed/37509950
http://dx.doi.org/10.3390/e25071003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378569/
https://www.ncbi.nlm.nih.gov/pubmed/37509950
http://dx.doi.org/10.3390/e25071003

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