Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data sets.

ABSTRACT: High-Throughput technologies provide genomic and trascriptomic data that are suitable for biomarker detection for classification purposes. However, the high dimension of the output of such technologies and the characteristics of the data sets analysed represent an issue for the classification task. Here we present a new feature selection method based on three steps to detect class-specific biomarkers in case of high-dimensional data sets. The first step detects the differentially expressed genes according to the experimental conditions tested in the experimental design, the second step filters out the features with low discriminative power and the third step detects the class-specific features and defines the final biomarker as the union of the class-specific features. The proposed procedu

SUBMITTER: Martina F 

PROVIDER: S-EPMC5555681 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature