Deep feature extraction of single-cell transcriptomes by generative adversarial network. - Mojtaba Bahrami; Malosree Maitra; Corina Nagy; Gustavo Turecki; Hamid R. Rabiee; Yue Li 046 (Bioinform., 2021)

MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. - Yuri Ahuja; Yuesong Zou; Aman Verma; David L. Buckeridge; Yue Li 046 (J. Biomed. Informatics, 2022)

scMoE: single-cell mixture of experts for learning hierarchical, cell-type-specific, and interpretable representations from heterogeneous scRNA-seq data. - Michael Huang; Yue Li 046 (BCB, 2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. - Ruohan Wang; Zilong Wang; Ziyang Song; David L. Buckeridge; Yue Li 046 (BCB, 2024)

SharePro: an accurate and efficient genetic colocalization method accounting for multiple causal signals. - Wenmin Zhang; Tianyuan Lu; Robert Sladek; Yue Li 046; Hamed S. Najafabadi; Josée Dupuis (Bioinform., 2024)

hART: Deep learning-informed lifespan heart failure risk trajectories. - Harry Moroz; Yue Li 046; Ariane Marelli (Int. J. Medical Informatics, 2024)

MixEHR-SurG: A joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records. - Yixuan Li; Archer Y. Yang; Ariane Marelli; Yue Li 046 (J. Biomed. Informatics, 2024)

ConvNTC: convolutional neural tensor completion for detecting "A-A-B" type biological triplets. - Pei Liu; Xiao Liang; Yue Li 046; Jiawei Luo (Briefings Bioinform., 2025)