Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique

(1) Background: Gene-expression data usually contain missing values (MVs). Numerous methods focused on how to estimate MVs have been proposed in the past few years. Recent studies show that those imputation algorithms made little difference in classification. Thus, some scholars believe that how to...

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Detalles Bibliográficos
Autores principales: Yan, Yuanting, Dai, Tao, Yang, Meili, Du, Xiuquan, Zhang, Yiwen, Zhang, Yanping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6274900/
https://www.ncbi.nlm.nih.gov/pubmed/30380746
http://dx.doi.org/10.3390/ijms19113398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6274900/
https://www.ncbi.nlm.nih.gov/pubmed/30380746
http://dx.doi.org/10.3390/ijms19113398

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