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Hong-Dong Li
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2020 – today
- 2024
- [j22]Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu:
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 57-68 (2024) - 2023
- [j21]Jiashu Liu, Cui-Xiang Lin, Xiaoqi Zhang, Zongxuan Li, Wenkui Huang, Jin Liu, Yuanfang Guan, Hong-Dong Li:
Computational approaches for detecting disease-associated alternative splicing events. Briefings Bioinform. 24(3) (2023) - [j20]Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li:
DeepRetention: A Deep Learning Approach for Intron Retention Detection. Big Data Min. Anal. 6(2): 115-126 (2023) - [j19]Yiwei Liu, Changhuo Yang, Hong-Dong Li, Jianxin Wang:
IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions. Bioinform. 39(9) (2023) - [j18]Yunpei Xu, Hong-Dong Li, Cui-Xiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang:
CellBRF: a feature selection method for single-cell clustering using cell balance and random forest. Bioinform. 39(Supplement-1): 368-376 (2023) - [j17]Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang:
A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 15-29 (2023) - [j16]Yingyi Liu, Hong-Dong Li, Yunpei Xu, Yi-Wei Liu, Xiaoqing Peng, Jianxin Wang:
IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 465-475 (2023) - [j15]Hong-Dong Li, Chao Deng, Xiao-Qi Zhang, Cui-Xiang Lin:
A Gene Set-Integrated Approach for Predicting Disease-Associated Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3440-3450 (2023) - [c10]Jin Liu, Qian Bi, Ping Zhong, Hong-Dong Li, Fei Guo, Junwen Duan:
Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering. ICCSE (3) 2023: 30-36 - 2022
- [j14]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang:
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23(1) (2022) - [j13]Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li:
A comparison of computational approaches for intron retention detection. Big Data Min. Anal. 5(1): 15-31 (2022) - [j12]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Shannon Erhardt, Jun Wang, Xiaoqing Peng, Jianxin Wang:
AlzCode: a platform for multiview analysis of genes related to Alzheimer's disease. Bioinform. 38(7): 2030-2032 (2022) - [j11]Hong-Dong Li, Cui-Xiang Lin, Jiantao Zheng:
GTFtools: a software package for analyzing various features of gene models. Bioinform. 38(20): 4806-4808 (2022) - [j10]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Yuanfang Guan, Jianxin Wang:
TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data. Nucleic Acids Res. 50(D1): 710-718 (2022) - [c9]Hai Liu, Hong-Dong Li:
KL-RF: Predicting disease-gene associations with model fusion. BIBM 2022: 491-496 - [c8]Jia-Hao Song, Cui-Xiang Lin, Hong-Dong Li:
An Alzheimer's disease gene prediction method based on ensemble of genome-wide association study summary statistics. BIBM 2022: 555-560 - 2021
- [j9]Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang:
Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics. Briefings Bioinform. 22(3) (2021) - [j8]Zhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, Hong-Dong Li, Qing-Song Xu:
REBET: a method to determine the number of cell clusters based on batch effect removal. Briefings Bioinform. 22(6) (2021) - [j7]Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S. Omenn, Jianxin Wang:
IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation. Bioinform. 37(4): 522-530 (2021) - [j6]Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 431-442 (2021) - [c7]Shuo Zhang, Changhuo Yang, Hong-Dong Li, Jianxin Wang:
GraphIsoFun: a graph neural network based approach for splice isoform function prediction. BIBM 2021: 112-117 - [c6]Chao Deng, Cui-Xiang Lin, Hong-Dong Li:
Improving the Prediction of Disease-associated Genes by Integrating Annotated Gene Sets. BIBM 2021: 386-391 - 2020
- [j5]Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li:
A network enhancement-based method for clustering of single cell RNA-seq data. Int. J. Data Min. Bioinform. 24(4): 306-325 (2020) - [j4]Hong-Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn, Jianxin Wang:
ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. J. Bioinform. Comput. Biol. 18(3): 2040009:1-2040009:25 (2020) - [c5]Zhenpeng Wu, Jiantao Zheng, Hong-Dong Li:
Identification of Disease-Associated Genes Based on Differential Intron Retention. BIBM 2020: 228-231 - [c4]Hong-Dong Li, Rui Guo, Junjian Li, Jianxin Wang, Yi Pan, Jin Liu:
Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis. BIBM 2020: 637-642
2010 – 2019
- 2019
- [j3]Hong-Dong Li, Tianjian Bai, Erin Sandford, Margit Burmeister, Yuanfang Guan:
BaiHui: cross-species brain-specific network built with hundreds of hand-curated datasets. Bioinform. 35(14): 2486-2488 (2019) - [c3]Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng:
A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. BIBM 2019: 261-266 - 2018
- [c2]Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Jianxin Wang:
BioRank: A Similarity Assessment Method for Single Cell Clustering. BIBM 2018: 157-162 - 2017
- [c1]Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei:
An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM 2017: 861-864 - 2011
- [j2]Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Bin-Bin Tan, Bai-Chuan Deng, Chen-Chen Lin:
Recipe for Uncovering Predictive Genes Using Support Vector Machines Based on Model Population Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1633-1641 (2011) - 2010
- [j1]Dong-Sheng Cao, Yi-Zeng Liang, Qing-Song Xu, Hong-Dong Li, Xian Chen:
A new strategy of outlier detection for QSAR/QSPR. J. Comput. Chem. 31(3): 592-602 (2010)
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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