Abstract: Predicting disease-gene associations is crucial in human health for understanding the genetic basis of diseases, identifying potential therapeutic targets, and advancing personalized ...

Abstract: In this paper, an efficient CNN model with transfer learning ability is developed for predicting the nonlinear behavior of transistors under large signal stimuli. The CNN consists of ...