TY - JOUR AU - Han, Fei AU - Tang, Di AU - Sun, Yu-Wen-Tian AU - Cheng, Zhun AU - Jiang, Jing AU - Li, Qiu-Wei PY - 2019 DA - 2019/06/10 TI - A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization JO - BMC Bioinformatics SP - 289 VL - 20 IS - 8 AB - Gene selection is one of the critical steps in the course of the classification of microarray data. Since particle swarm optimization has no complicated evolutionary operators and fewer parameters need to be adjusted, it has been used increasingly as an effective technique for gene selection. Since particle swarm optimization is apt to converge to local minima which lead to premature convergence, some particle swarm optimization based gene selection methods may select non-optimal genes with high probability. To select predictive genes with low redundancy as well as not filtering out key genes is still a challenge. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-019-2773-x DO - 10.1186/s12859-019-2773-x ID - Han2019 ER -