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Robust Feature Selection Approach for Patient Classification using Gene Expression Data
Patient classification through feature selection (FS) based on gene expression data (GED) has already become popular to the research communities. T-test is the well-known statistical FS method in GED analysis. However, it produces higher false positives and lower accuracies for small sample sizes or...
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| 出版年: | Bioinformation |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Biomedical Informatics
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5680713/ https://ncbi.nlm.nih.gov/pubmed/29162964 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6026/97320630013327 |
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