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Feature Selection Using Approximate Conditional Entropy Based on Fuzzy Information Granule for Gene Expression Data Classification
Classification is widely used in gene expression data analysis. Feature selection is usually performed before classification because of the large number of genes and the small sample size in gene expression data. In this article, a novel feature selection algorithm using approximate conditional entr...
שמור ב:
| הוצא לאור ב: | Front Genet |
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| מחבר ראשי: | |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2021
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8042210/ https://ncbi.nlm.nih.gov/pubmed/33859666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.631505 |
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