Hao Lin

AI4Loop uses deep learning to infer chromatin interactions from RNA-seq data, revealing increased interactions in tumors and identifying potential therapeutic compounds.

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

TAFFISH provides a reproducibility framework for bioinformatics by packaging shell commands as executable units with versioning and validation.

This paper introduces IF-QSAA, a method that maps alpha-synuclein seeding activity and pathology in tissue, revealing white-matter enrichment and resolving hemispheric asymmetry in Parkinson's disease.