Integrating Deep Neural Networks with Support Vector Machines for Gene Expression Classification
Gene expression classification remains a challenging task due to the high dimensionality and heterogeneity of available datasets. In this study, we present a comprehensive empirical analysis combining neural networks and Support Vector Machines (SVMs) for gene expression classification. We evaluate a wide range of arch...