An Adaptive Unsupervised Feature Selection Algorithm Based on MDS for Tumor Gene Data Classification

Identifying the key genes related to tumors from gene expression data with a large number of features is important for the accurate classification of tumors and to make special treatment decisions. In recent years, unsupervised feature selection algorithms have attracted considerable attention in th...

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Detalles Bibliográficos
Autores principales: Jin, Bo, Fu, Chunling, Jin, Yong, Yang, Wei, Li, Shengbin, Zhang, Guangyao, Wang, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197094/
https://www.ncbi.nlm.nih.gov/pubmed/34071066
http://dx.doi.org/10.3390/s21113627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197094/
https://www.ncbi.nlm.nih.gov/pubmed/34071066
http://dx.doi.org/10.3390/s21113627

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