Hong-Dong Li

Orcid: 0000-0003-3438-739X

According to our database1, Hong-Dong Li authored at least 31 papers between 2010 and 2024.

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Bibliography

2024
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023
IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions.
Bioinform., September, 2023

DeepRetention: A Deep Learning Approach for Intron Retention Detection.
Big Data Min. Anal., June, 2023

Computational approaches for detecting disease-associated alternative splicing events.
Briefings Bioinform., May, 2023

IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Comparison of Topologically Associating Domain Callers Based on Hi-C Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Gene Set-Integrated Approach for Predicting Disease-Associated Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

CellBRF: a feature selection method for single-cell clustering using cell balance and random forest.
Bioinform., 2023

2022
GTFtools: a software package for analyzing various features of gene models.
Bioinform., October, 2022

TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data.
Nucleic Acids Res., 2022

AlzCode: a platform for multiview analysis of genes related to Alzheimer's disease.
Bioinform., 2022

A comparison of computational approaches for intron retention detection.
Big Data Min. Anal., 2022

An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
Briefings Bioinform., 2022

An Alzheimer's disease gene prediction method based on ensemble of genome-wide association study summary statistics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KL-RF: Predicting disease-gene associations with model fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation.
Bioinform., 2021

Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics.
Briefings Bioinform., 2021

REBET: a method to determine the number of cell clusters based on batch effect removal.
Briefings Bioinform., 2021

GraphIsoFun: a graph neural network based approach for splice isoform function prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Improving the Prediction of Disease-associated Genes by Integrating Annotated Gene Sets.
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.
J. Bioinform. Comput. Biol., 2020

A network enhancement-based method for clustering of single cell RNA-seq data.
Int. J. Data Min. Bioinform., 2020

Identification of Disease-Associated Genes Based on Differential Intron Retention.
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.
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.
Bioinform., 2019

A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
BioRank: A Similarity Assessment Method for Single Cell Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
An interpretable model for predicting side effects of analgesics for osteoarthritis.
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010
A new strategy of outlier detection for QSAR/QSPR.
J. Comput. Chem., 2010


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