An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction. (PubMed, Comput Biol Med)
Moreover, Gene-TF and Gene-miRNA network analyses highlighted critical regulators, including TFs like CYR61, SMAD4, SOX2, TP63, and AR, along with miRNAs such as hsa-let-7b-5p, hsa-miR-34a-5p, hsa-let-7a-5p, hsa-let-7c-5p, and hsa-miR-16-5p, underscoring the functional impact of the selected features. In conclusion, the proposed approach effectively generates a streamlined set of optimal features, providing valuable biological insights and laying the groundwork for more accurate and effective tools in cancer diagnosis and prediction.