Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots. - Lijun Quan; Leixin Cai; Yu Chen 064; Jie Mei; Xiaoyu Sun 006; Qiang Lyu (Neurocomputing, 2020)

Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays. - Lijun Quan; Jie Mei; Ruji He; Xiaoyu Sun 006; Liangpeng Nie; Kailong Li; Qiang Lyu (IEEE J. Biomed. Health Informatics, 2021)

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. - Lijun Quan; Xiaoyu Sun 006; Jian Wu; Jie Mei; Liqun Huang; Ruji He; Liangpeng Nie; Yu Chen 064; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets. - Lijun Quan; Xiaomin Chu; Xiaoyu Sun 006; Tingfang Wu; Qiang Lyu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)