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Feature Ranking and Screening for Class-Imbalanced Metabolomics Data Based on Rank Aggregation Coupled with Re-Balance

Feature screening is an important and challenging topic in current class-imbalance learning. Most of the existing feature screening algorithms in class-imbalance learning are based on filtering techniques. However, the variable rankings obtained by various filtering techniques are generally differen...

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Vydáno v:Metabolites
Hlavní autoři: Fu, Guang-Hui, Wang, Jia-Bao, Zong, Min-Jie, Yi, Lun-Zhao
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2021
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8232202/
https://ncbi.nlm.nih.gov/pubmed/34198638
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/metabo11060389
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