A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...

This prediction approach achieves higher agreement in predictions by optimizing the concordance correlation coefficient (CCC), which measures how well pairs of observations fall on the 45-degree line ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...