A Multi-Objective Evolutionary Approach for Preprocessing Imbalanced Microarray Datasets

Microarray datasets are usually imbalanced with a huge number of features and few samples. Most of the existing methods consider classification accuracy as the performance measure while converting the imbalanced datasets into a balanced one and selecting the optimal feature subset, resulting in over...

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Veröffentlicht in:	Computing in science & engineering 2020-01, Vol.22 (1), p.88-100
Hauptverfasser:	Rangasamy, DeviPriya, Rajappan, Sivaraj, Natesan, Mohan
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification algorithms Data models Data processing Datasets Feature extraction Gene expression Genetic algorithms Methodology Multiple objective analysis Preprocessing Sensitivity Task analysis
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