Cervical cancer survival analysis by integrating multi-omics data through an adaptive weighted deep neural network.
Accurately analyzing cervical cancer prognosis holds significant importance for enhancing clinical outcomes within the framework of precision medicine. Since single-omics data only capture a limited perspective of cervical cancer patients, integrating multiple types of omics data is essential to provide more comprehens...