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Biomarker discovery based on BBHA and adaboostM1 on microarray data for cancer classification
(IEEE, 2016)
In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version M1 (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA ...
Gene selection and classification approach for microarray data based on random forest ranking and BBHA
(IEEE, 2016)
In this paper, a novel approach based on Binary Black Hole Algorithm (BBHA) and Random Forest Ranking (RFR) is proposed for gene selection and classification of microarray data. In this approach, RFR and BBHA are used to ...
