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Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach.

, and . IEEE/ACM Trans. Comput. Biology Bioinform., 11 (6): 1170-1183 (2014)

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Partial rank aggregation using multiobjective genetic algorithm: Application in ranking genes., , and . ICAPR, page 1-6. IEEE, (2015)Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC., , and . Med. Biol. Engineering and Computing, 53 (4): 331-344 (2015)A novel PSO-based graph-theoretic approach for identifying most relevant and non-redundant gene markers from gene expression data., and . IJPEDS, 30 (3): 175-192 (2015)A PSO-based rank aggregation algorithm for ranking genes from microarray data., and . Panhellenic Conference on Informatics, page 166-173. ACM, (2013)Multiobjective PSO-based rank aggregation: Application in gene ranking from microarray data., and . Inf. Sci., (2017)Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach., and . IEEE/ACM Trans. Comput. Biology Bioinform., 11 (6): 1170-1183 (2014)Fuzzy rule-based classifier for microarray gene expression data by using a multiobjective PSO-based approach., , and . FUZZ-IEEE, page 1-7. IEEE, (2013)Predicting Protein Subcellular Localization: A Multiobjective PSO-based Feature Subset Selection from Amino Acid Sequence of Protein., and . ICIT, page 251-255. IEEE, (2014)A Hybrid Multiobjective Particle Swarm Optimization Approach for Non-redundant Gene Marker Selection., and . BIC-TA (1), volume 201 of Advances in Intelligent Systems and Computing, page 205-216. Springer, (2012)