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Statistical Approach for Biologically Relevant Gene Selection from High-Throughput Gene Expression Data
Selection of biologically relevant genes from high-dimensional expression data is a key research problem in gene expression genomics. Most of the available gene selection methods are either based on relevancy or redundancy measure, which are usually adjudged through post selection classification acc...
שמור ב:
| הוצא לאור ב: | Entropy (Basel) |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7712650/ https://ncbi.nlm.nih.gov/pubmed/33286973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22111205 |
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