2 papers
cs.LG2025
BoMGene: Integrating Boruta-mRMR feature selection for enhanced Gene expression classification
Bich-Chung Phan, Thanh Ma, Huu-Hoa Nguyen +1
Feature selection is a crucial step in analyzing gene expression data, enhancing classification performance, and reducing computational costs for high-dimensional datasets. This pa…
cs.LG2025
BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification
Bich-Chung Phan, Thanh Ma, Huu-Hoa Nguyen +1
Gene expression classification is a pivotal yet challenging task in bioinformatics, primarily due to the high dimensionality of genomic data and the risk of overfitting. To bridge…