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2020 – today
- 2024
[j14]Hong Ju, Yanyan Cui, Qiaosen Su, Liran Juan, Balachandran Manavalan
:
CODENET: A deep learning model for COVID-19 detection. Comput. Biol. Medicine 171: 108229 (2024)- 2023
- [j13]Qi Yang, Zhaochun Xu, Wenyang Zhou, Pingping Wang, Qinghua Jiang, Liran Juan:
An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation. Briefings Bioinform. 24(4) (2023) - 2022
- [j12]Shiming Wang, Jie Li, Yadong Wang, Liran Juan:
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2017-2025 (2022) - 2021
- [j11]Tianyi Zhao, Shuxuan Lyu, Guilin Lu, Liran Juan, Xi Zeng, Zhongyu Wei, Jianye Hao, Jiajie Peng:
SC2disease: a manually curated database of single-cell transcriptome for human diseases. Nucleic Acids Res. 49(Database-Issue): D1413-D1419 (2021) - 2020
- [j10]Chao Wang, Pingping Wang, Shuguang Han, Lida Wang, Yuming Zhao, Liran Juan:
FunEffector-Pred: Identification of Fungi Effector by Activate Learning and Genetic Algorithm Sampling of Imbalanced Data. IEEE Access 8: 57674-57683 (2020) - [j9]Liran Juan, Yongtian Wang, Jingyi Jiang, Qi Yang, Guohua Wang, Yadong Wang:
Evaluating individual genome similarity with a topic model. Bioinform. 36(18): 4757-4764 (2020) - [j8]Renjie Tan, Jixuan Wang, Xiaoliang Wu, Liran Juan, Tianjiao Zhang, Rui Ma, Qing Zhan, Tao Wang, Shuilin Jin, Qinghua Jiang, Yadong Wang:
ERDS-Exome: A Hybrid Approach for Copy Number Variant Detection from Whole-Exome Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 796-803 (2020) - [c5]Zhe Cui, Bo Liu, Liran Juan, Tianyi Zang, Tao Jiang, Yadong Wang:
Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq. BIBM 2020: 412-416 - [c4]Ningyi Zhang, Liran Juan, Tianyi Zang:
NCRR: A novel method for measuring disease similarity based on non-coding RNA regulation. BIBM 2020: 1700-1707
2010 – 2019
- 2019
- [j7]Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang:
LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets. BMC Bioinform. 20-S(16): 582:1-582:11 (2019) - [j6]Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang:
Prioritizing candidate diseases-related metabolites based on literature and functional similarity. BMC Bioinform. 20-S(18): 574:1-574:11 (2019) - 2018
- [c3]Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang:
Predicting candidate disease-related lncRNAs based on network random walk. BIBM 2018: 524-531 - [c2]Yongtian Wang, Liran Juan, Chunpu Liu, Tianyi Zang, Yadong Wang:
Identifying Candidate Diseases-related Metabolites Based on Disease Similarity. BIBM 2018: 1281-1285 - 2017
- [c1]Yongtian Wang, Liran Juan, Yan-Shuo Chu, Rongjie Wang, Tianyi Zang, Yadong Wang:
FNSemSim: An improved disease similarity method based on network fusion. BIBM 2017: 630-633 - 2016
- [j5]Yongzhuang Liu, Jian Liu, Jianguo Lu, Jiajie Peng, Liran Juan, Xiaolin Zhu, Bingshan Li, Yadong Wang:
Joint detection of copy number variations in parent-offspring trios. Bioinform. 32(8): 1130-1137 (2016) - 2015
- [j4]Liran Juan, Yongzhuang Liu, Yongtian Wang, Mingxiang Teng, Tianyi Zang, Yadong Wang:
Family genome browser: visualizing genomes with pedigree information. Bioinform. 31(14): 2262-2268 (2015) - 2014
- [j3]Liran Juan, Mingxiang Teng, Tianyi Zang, Yafeng Hao, Zhenxing Wang, Chengwu Yan, Yongzhuang Liu, Jie Li, Tianjiao Zhang, Yadong Wang:
The personal genome browser: visualizing functions of genetic variants. Nucleic Acids Res. 42(Webserver-Issue): 192-197 (2014) - 2010
- [j2]Qinghua Jiang, Yangyang Hao, Guohua Wang, Liran Juan, Tianjiao Zhang, Mingxiang Teng, Yunlong Liu, Yadong Wang:
Prioritization of disease microRNAs through a human phenome-microRNAome network. BMC Syst. Biol. 4(S-1): S2 (2010)
2000 – 2009
- 2009
- [j1]Qinghua Jiang, Yadong Wang, Yangyang Hao, Liran Juan, Mingxiang Teng, Xinjun Zhang, Meimei Li, Guohua Wang, Yunlong Liu:
miR2Disease: a manually curated database for microRNA deregulation in human disease. Nucleic Acids Res. 37(Database-Issue): 98-104 (2009)
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