Iterative ensemble feature selection for multiclass classification of imbalanced microarray data

Junshan Yang; Jiarui Zhou; Zexuan Zhu; Xiaoliang Ma; Zhen Ji

doi:10.1186/s40709-016-0045-8

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Iterative ensemble feature selection for multiclass classification of imbalanced microarray data

Junshan Yang Jiarui Zhou Zexuan Zhu Xiaoliang Ma Zhen Ji

Year: 2016 Journal: Journal of Biological Research - Thessaloniki Vol: 23 (S1)Pages: 13-13 Publisher: Springer Science+Business Media

DOI: 10.1186/s40709-016-0045-8

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Keywords:

Feature selection Computer science Artificial intelligence Multiclass classification Data mining Benchmark (surveying) Binary classification Pattern recognition (psychology) Microarray analysis techniques Feature (linguistics) Machine learning Classifier (UML) Binary number Statistical classification Support vector machine Mathematics Biology

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Iterative ensemble feature selection for multiclass classification of imbalanced microarray data

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