Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification

摘要

BackgroundPrevious studies on tumor classification based on gene expression profiles suggest that gene selection plays a key role in improving the classification performance. Moreover, finding important tumor-related genes with the highest accuracy is a very important task because these genes might serve as tumor biomarkers, which is of great benefit to not only tumor molecular diagnosis but also drug development.