The Model-Based Study of the Effectiveness of Reporting Lists of Small Feature Sets Using RNA-Seq Data
Ranking feature sets for phenotype classification based on gene expression is a challenging issue in cancer bioinformatics. When the number of samples is small, all feature selection algorithms are known to be unreliable, producing significant error, and error estimators suffer from different degree...
Main Authors: | Eunji Kim, Ivan Ivanov, Jianping Hua, Johanna W Lampe, Meredith AJ Hullar, Robert S Chapkin, Edward R Dougherty |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-06-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.1177/1176935117710530 |
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