Hong-Dong Li

According to our database, Hong-Dong Li authored at least 34 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.

Rui Guo, Xu Tian, Hanhe Lin, Stephen J. McKenna, Hong-Dong Li, Fei Guo, Jin Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MVFormer: Predicting the pathogenicity of missense variants using gated transformers.

Zongxuan Li, Wenkui Huang, Hong-Dong Li

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions.

Yiwei Liu, Changhuo Yang, Hong-Dong Li, Jianxin Wang

Bioinform., September, 2023

FEED: a feature selection method based on gene expression decomposition for single cell clustering.

Chao Zhang, Zhi-Wei Duan, Yun-Pei Xu, Jin Liu, Hong-Dong Li

Briefings Bioinform., September, 2023

DeepRetention: A Deep Learning Approach for Intron Retention Detection.

Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

Big Data Min. Anal., June, 2023

Computational approaches for detecting disease-associated alternative splicing events.

Jiashu Liu, Cui-Xiang Lin, Xiaoqi Zhang, Zongxuan Li, Wenkui Huang, Jin Liu, Yuanfang Guan, Hong-Dong Li

Briefings Bioinform., May, 2023

IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection.

Yingyi Liu, Hong-Dong Li, Yunpei Xu, Yi-Wei Liu, Xiaoqing Peng, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Comparison of Topologically Associating Domain Callers Based on Hi-C Data.

Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Gene Set-Integrated Approach for Predicting Disease-Associated Genes.

Hong-Dong Li, Chao Deng, Xiao-Qi Zhang, Cui-Xiang Lin

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CellBRF: a feature selection method for single-cell clustering using cell balance and random forest.

Yunpei Xu, Hong-Dong Li, Cui-Xiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang

Bioinform., 2023

Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering.

Jin Liu, Qian Bi, Ping Zhong, Hong-Dong Li, Fei Guo, Junwen Duan

Proceedings of the Computer Science and Education. Educational Digitalization, 2023

2022

GTFtools: a software package for analyzing various features of gene models.

Hong-Dong Li, Cui-Xiang Lin, Jiantao Zheng

Bioinform., October, 2022

TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data.

Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Yuanfang Guan, Jianxin Wang

Nucleic Acids Res., 2022

AlzCode: a platform for multiview analysis of genes related to Alzheimer's disease.

Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Shannon Erhardt, Jun Wang, Xiaoqing Peng, Jianxin Wang

Bioinform., 2022

A comparison of computational approaches for intron retention detection.

Jiantao Zheng, Cuixiang Lin, Zhenpeng Wu, Hong-Dong Li

Big Data Min. Anal., 2022

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.

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

Briefings Bioinform., 2022

An Alzheimer's disease gene prediction method based on ensemble of genome-wide association study summary statistics.

Jia-Hao Song, Cui-Xiang Lin, Hong-Dong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KL-RF: Predicting disease-gene associations with model fusion.

Hai Liu, Hong-Dong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.

Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation.

Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S. Omenn, Jianxin Wang

Bioinform., 2021

Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics.

Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang

Briefings Bioinform., 2021

REBET: a method to determine the number of cell clusters based on batch effect removal.

Zhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, Hong-Dong Li, Qing-Song Xu

Briefings Bioinform., 2021

GraphIsoFun: a graph neural network based approach for splice isoform function prediction.

Shuo Zhang, Changhuo Yang, Hong-Dong Li, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Improving the Prediction of Disease-associated Genes by Integrating Annotated Gene Sets.

Chao Deng, Cui-Xiang Lin, Hong-Dong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets.

Hong-Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn, Jianxin Wang

J. Bioinform. Comput. Biol., 2020

A network enhancement-based method for clustering of single cell RNA-seq data.

Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li

Int. J. Data Min. Bioinform., 2020

Identification of Disease-Associated Genes Based on Differential Intron Retention.

Zhenpeng Wu, Jiantao Zheng, Hong-Dong Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis.

Hong-Dong Li, Rui Guo, Junjian Li, Jianxin Wang, Yi Pan, Jin Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

BaiHui: cross-species brain-specific network built with hundreds of hand-curated datasets.

Hong-Dong Li, Tianjian Bai, Erin Sandford, Margit Burmeister, Yuanfang Guan

Bioinform., 2019

A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data.

Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

BioRank: A Similarity Assessment Method for Single Cell Clustering.

Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

An interpretable model for predicting side effects of analgesics for osteoarthritis.

Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2011

Recipe for Uncovering Predictive Genes Using Support Vector Machines Based on Model Population Analysis.

Hong-Dong Li, Yi-Zeng Liang, Qing-Song Xu, Dong-Sheng Cao, Bin-Bin Tan, Bai-Chuan Deng, Chen-Chen Lin

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010

A new strategy of outlier detection for QSAR/QSPR.

Dong-Sheng Cao, Yi-Zeng Liang, Qing-Song Xu, Hong-Dong Li, Xian Chen

J. Comput. Chem., 2010