Classification of breast cancer using microarray gene expression data: A survey

Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques

(2020) Mohammed Loey et al.   Symmetry-Basel

Comparative study for 8 computational intelligence algorithms for human identification

(2020) Shaymaa Adnan Abdulrahman et al.   Computer Science Review

Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification

(2018) Indu Jain et al.   APPLIED SOFT COMPUTING

Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony

(2017) Lingyun Gao et al.   MOLECULES

A hybrid feature selection algorithm for gene expression data classification

(2017) Huijuan Lu et al.   NEUROCOMPUTING

Cell Microarray Technologies for High-Throughput Cell-Based Biosensors

(2017) Hye Hong et al.   SENSORS

A fuzzy multi-objective hybrid TLBO–PSO approach to select the associated genes with breast cancer

(2017) Saleh Shahbeig et al.   SIGNAL PROCESSING

Particle swarm optimization algorithm: an overview

(2017) Dongshu Wang et al.   SOFT COMPUTING

A Cancer Gene Selection Algorithm Based on the K-S Test and CFS

(2017) Qiang Su et al.   Biomed Research International

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles

(2014) Zhiwen Yu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A review of microarray datasets and applied feature selection methods

(2014) V. Bolón-Canedo et al.   INFORMATION SCIENCES

A review of feature selection methods based on mutual information

(2013) Jorge R. Vergara et al.   NEURAL COMPUTING & APPLICATIONS