miR2Disease: a manually curated database for microRNA deregulation in human disease. - Qinghua Jiang; Yadong Wang 001; Yangyang Hao; Liran Juan; Mingxiang Teng; Xinjun Zhang; Meimei Li; Guohua Wang; Yunlong Liu (Nucleic Acids Res., 2009)

Prioritization of disease microRNAs through a human phenome-microRNAome network. - Qinghua Jiang; Yangyang Hao; Guohua Wang; Liran Juan; Tianjiao Zhang; Mingxiang Teng; Yunlong Liu; Yadong Wang 001 (BMC Syst. Biol., 2010)

The personal genome browser: visualizing functions of genetic variants. - Liran Juan; Mingxiang Teng; Tianyi Zang; Yafeng Hao; Zhenxing Wang; Chengwu Yan; Yongzhuang Liu; Jie Li 055; Tianjiao Zhang; Yadong Wang 001 (Nucleic Acids Res., 2014)

Family genome browser: visualizing genomes with pedigree information. - Liran Juan; Yongzhuang Liu; Yongtian Wang; Mingxiang Teng; Tianyi Zang; Yadong Wang 001 (Bioinform., 2015)

Joint detection of copy number variations in parent-offspring trios. - Yongzhuang Liu; Jian Liu; Jianguo Lu; Jiajie Peng; Liran Juan; Xiaolin Zhu 002; Bingshan Li; Yadong Wang 001 (Bioinform., 2016)

FNSemSim: An improved disease similarity method based on network fusion. - Yongtian Wang; Liran Juan; Yan-Shuo Chu; Rongjie Wang; Tianyi Zang; Yadong Wang (BIBM, 2017)

Identifying Candidate Diseases-related Metabolites Based on Disease Similarity. - Yongtian Wang; Liran Juan; Chunpu Liu; Tianyi Zang; Yadong Wang (BIBM, 2018)

Predicting candidate disease-related lncRNAs based on network random walk. - Yongtian Wang; Liran Juan; Jiajie Peng; Tianyi Zang; Yadong Wang 001 (BIBM, 2018)

Prioritizing candidate diseases-related metabolites based on literature and functional similarity. - Yongtian Wang; Liran Juan; Jiajie Peng; Tianyi Zang; Yadong Wang 001 (BMC Bioinform., 2019)

LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets. - Yongtian Wang; Liran Juan; Jiajie Peng; Tianyi Zang; Yadong Wang 001 (BMC Bioinform., 2019)

Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq. - Zhe Cui; Bo Liu 023; Liran Juan; Tianyi Zang; Tao Jiang 021; Yadong Wang 001 (BIBM, 2020)

NCRR: A novel method for measuring disease similarity based on non-coding RNA regulation. - Ningyi Zhang; Liran Juan; Tianyi Zang (BIBM, 2020)

FunEffector-Pred: Identification of Fungi Effector by Activate Learning and Genetic Algorithm Sampling of Imbalanced Data. - Chao Wang 043; Pingping Wang; Shuguang Han; Lida Wang; Yuming Zhao; Liran Juan (IEEE Access, 2020)

Evaluating individual genome similarity with a topic model. - Liran Juan; Yongtian Wang; Jingyi Jiang; Qi Yang; Guohua Wang; Yadong Wang (Bioinform., 2020)

ERDS-Exome: A Hybrid Approach for Copy Number Variant Detection from Whole-Exome Sequencing Data. - Renjie Tan; Jixuan Wang; Xiaoliang Wu; Liran Juan; Tianjiao Zhang; Rui Ma; Qing Zhan; Tao Wang; Shuilin Jin; Qinghua Jiang; Yadong Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

SC2disease: a manually curated database of single-cell transcriptome for human diseases. - Tianyi Zhao; Shuxuan Lyu; Guilin Lu; Liran Juan; Xi Zeng; Zhongyu Wei; Jianye Hao; Jiajie Peng (Nucleic Acids Res., 2021)

A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions. - Shiming Wang; Jie Li 055; Yadong Wang 001; Liran Juan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation. - Qi Yang; Zhaochun Xu; Wenyang Zhou; Pingping Wang; Qinghua Jiang; Liran Juan (Briefings Bioinform., 2023)

CODENET: A deep learning model for COVID-19 detection. - Hong Ju; Yanyan Cui; Qiaosen Su; Liran Juan; Balachandran Manavalan (Comput. Biol. Medicine, 2024)