Yan-Ting Jin

EssTFNet predicts human essential genes using a deep learning framework combining adaptive time-frequency analysis and DNA language models, achieving high accuracy and interpretability.

The paper develops a computational model using sequence information to predict human gene essentiality, achieving high AUC scores and identifying previously overlooked essential genes.