1. Peng Y (2006) A novel ensemble machine learning for robust microarray data classification. Comput Biol Med 36(6):553–573
2. Sánchez-Maroño N, Alonso-Betanzos A, García-González P, Bolón-Canedo V (2010) Multiclass classifiers vs multiple binary classifiers using filters for feature selection. In: The 2010 international joint conference on neural networks (IJCNN). IEEE, Piscataway, pp 1–8
3. Golestani A, Ali Amiri KA, Jahed Motlagh MR (2007) A novel adaptive-boost-based strategy for combining classifiers using diversity concept. In: 6th IEEE/ACIS international conference on computer and information science, 2007, ICIS 2007. IEEE, Piscataway, pp 128–134
4. Liu Z, Tang D, Cai Y, Wang R, Chen F (2017) A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data. Neurocomputing 266:641–650
5. Mohapatra P, Chakravarty S, Dash PK (2016) Microarray medical data classification using kernel ridge regression and modified cat swarm optimization based gene selection system. Swarm Evol Comput 28:144–160