An Xiao

This study introduces RiboRL, a deep reinforcement learning framework for predicting ribosome densities on transcripts, showing improved performance over existing methods.

DeepHINT predicts HIV-1 integration sites and explains their selection using an attention-based deep learning framework, outperforming conventional methods.

NeoDTI predicts drug-target interactions by integrating heterogeneous network data, showing improved performance and novel predictions supported by prior studies.