Feature Selection Techniques for Genomic Data

In today’s era there is massive growth in genomic data, so the feature selection techniques as data preprocessing are considered to be a key player in reducing the complexity and dimensionality of the huge data. The feature selection techniques show a way to improve prediction performance, reduce the computational cost and provide us a better understandability of the large datasets. In the present article, we basically paid attention on basic structure of feature selection techniques and their use in genomic data. We provide a precise and analytical review of literature of the feature selection methods that are applied in genomic data analysis.