Evaluating Ovarian Cancer Chemotherapy Response Using Gene Expression Data and Machine Learning.

In this study, we propose that applying multiple feature selection methods not only effectively reduces the number of identified biomarkers, enhancing their biological relevance, but also corroborates the efficacy of drug response prediction models in cancer treatment.