Abstract: A new method based on ensemble features selection technique is proposed to recognize the
co-expression patterns of the intronic miRNAs with their host genes. The Support-based Ensemble Feature
Selection algorithm is used to obtain a subset of features with high correlation and stability, and then through the
combination of wrapper and FCBF(Fast Correlation-Based Filter) search to reduce the redundant features and
weakly related features to get optimal features. The experimental results show that the proposed method can take
advantage of the benefits of multiple feature selection methods and effectively recognize the co-expression patterns
of the intronic miRNAs with their host genes.

Key words: support, co-expression, ensemble feature selection, feature extraction, intronic miRNA