百晓学者学者目录

李洪东

博士生导师、教授、研究员、硕士生导师,中南大学

精选作品

期刊论文

2025

Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association

Chao Deng, Hong‐Dong Li, Jianxin Wang

Proceedings of the AAAI Conference on Artificial Intelligence

2025

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis

Xu Tian, Hong‐Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison Xiao Bai, Wei Lan, Jin Liu

Neural Networks

2025

ChromNet: A Multi‐Task Learning Framework for Cross‐Cell Type Prediction of 3D Chromatin Interactions Using Epigenetic Signals

Bin Wang, Shaokai Wang, Liqing Ding, Hong‐Dong Li, Yaohang Li, Jianxin Wang

Advanced Science

2025

Multiomics analysis uncovers subtype-specific mechanisms and biomarkers in idiopathic inflammatory myopathies

Yizhi Xiao, Shasha Xie, Yanjuan Liu, Jiang Yu, Hong‐Dong Li, Huali Zhang, Xiaoxia Zuo, Hui Luo, Honglin Zhu

Annals of the Rheumatic Diseases

2025

diPaRIS: Dynamic and Interpretable Protein‐RNA Interactions Prediction With U‐Shaped Network and Novel Structure Encoding

Lishen Zhang, Chengqian Lu, Xiaoqing Peng, Fei Guo, Hong‐Dong Li, Jianxin Wang

Advanced Science

2024

A Survey on the Feedback Mechanism of LLM-based AI Agents

Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong‐Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang

2024

LIMO-GCN: a linear model-integrated graph convolutional network for predicting Alzheimer disease genes

Cuixiang Lin, Hong‐Dong Li, Jianxin Wang

Briefings in Bioinformatics

2024

MVFormer: Predicting the pathogenicity of missense variants using gated transformers

Zong-Xuan Li, Wen-Kui Huang, Hong‐Dong Li

ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)

2024

Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction

Jin Liu, Xu Tian, Hanhe Lin, Hong‐Dong Li, Yi Pan

Big Data Mining and Analytics

2024

Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networks

Chao Deng, Hong‐Dong Li, Lishen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Bioinformatics

2024

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan, Hong‐Dong Li, Youqi Li, Zhe Qu

Proceedings of the AAAI Conference on Artificial Intelligence

2024

Alternative splicing and intron retention: Their profiles and roles in cutaneous fibrosis of systemic sclerosis

Shasha Xie, Bao Fu Ding, Yizhi Xiao, Hong‐Dong Li, Muyao Guo, Bingying Dai, Sijia Liu, Jing Huang, Muyuan Li, Liqing Ding, Qiming Meng, Chunliu Lv, Jörg H. W. Distler, Hui Luo, Honglin Zhu

Journal of Autoimmunity

2024

scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data

Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong‐Dong Li, Jianxin Wang

Nature Communications

2024

Characterised intron retention profiles in muscle tissue of idiopathic inflammatory myopathy subtypes

Yizhi Xiao, Shasha Xie, Hong‐Dong Li, Yanjuan Liu, Yanjuan Liu, Huali Zhang, Xiaoxia Zuo, Honglin Zhu, Yisha Li, Hui Luo

Annals of the Rheumatic Diseases

2024

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

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

Communications in computer and information science

2024

Enhancing Database Principles Teaching with ChatGPT-Like Language Models

Junwen Duan, Fei Guo, Jin Liu, Hong‐Dong Li

Communications in computer and information science

2023

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

Rui Guo, Xu Tian, Hanhe Lin, Stephen James McKenna, Hong‐Dong Li, Fei Guo, Jin Liu

IEEE Transactions on Computational Biology and Bioinformatics

2023

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

Chao Zhang, Zhi-Wei Duan, Yunpei Xu, Jin Liu, Hong‐Dong Li

Briefings in Bioinformatics

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

Bioinformatics

2023

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

Yunpei Xu, Hong‐Dong Li, Cuixiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang

Bioinformatics

2023

Computational approaches for detecting disease-associated alternative splicing events

Jiashu Liu, Cuixiang Lin, Xiaoqi Zhang, Zongxuan Li, Wenkui Huang, Jin Liu, Yuanfang Guan, Hong‐Dong Li

Briefings in Bioinformatics

2023

DeepRetention: A Deep Learning Approach for Intron Retention Detection

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

Big Data Mining and Analytics

2023

Artificial intelligence approaches for molecular representation in drug response prediction

Cuixiang Lin, Yuanfang Guan, Hong‐Dong Li

Current Opinion in Structural Biology

2022

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

Jiahao Song, Cuixiang Lin, Hong‐Dong Li

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2022

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

Hai Liu, Hong‐Dong Li

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2022

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

Hong‐Dong Li, Chao Bing Deng, Xiaoqi Zhang, Cuixiang Lin

IEEE Transactions on Computational Biology and Bioinformatics

2022

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

Hong‐Dong Li, Cuixiang Lin, Jiantao Zheng

Bioinformatics

2022

A comparison of computational approaches for intron retention detection

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

Big Data Mining and Analytics

2022

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

Yingyi Liu, Hong‐Dong Li, Yunpei Xu, Yiwei Liu, Xiaoqing Peng, Jianxin Wang

IEEE Transactions on Computational Biology and Bioinformatics

2022

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

Cuixiang Lin, Hong‐Dong Li, Chao Deng, Shannon Erhardt, Jun Wang, Jun Wang, Xiaoqing Peng, Jianxin Wang, Jianxin Wang

Bioinformatics

2021

“人工智能+X”背景下生物信息学方向科技创新人才培养体系探索与实践

李敏,项炬,李洪东,曾敏,段桂华,王建新

《工业和信息化教育》

2021

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

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2021

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

Chao Deng, Cuixiang Lin, Hong‐Dong Li

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2021

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

Cuixiang Lin, Hong‐Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang‐Xiang Wu, Xing‐Ming Zhao, Yuanfang Guan, Jun Wang, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang, Jianxin Wang

Briefings in Bioinformatics

2021

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

Zhaoyu Fang, Cuixiang Lin, Yunpei Xu, Hong‐Dong Li, Qingsong Xu

Briefings in Bioinformatics

2021

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

Cuixiang Lin, Hong‐Dong Li, Chao Deng, Yuanfang Guan, Jianxin Wang

Nucleic Acids Research

2021

Reform and Practice of Open Teaching Mode Based on Innovation Ability Training

Guihua Duan, Yu Sheng, Ping Zhong, Liu Jin, Hong‐Dong Li, Ying An

International Conference on Computer Science & Education (ICCSE)

2021

RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random Forest

Yuan Zhao, Zhaoyu Fang, Cuixiang Lin, Chao Deng, Yunpei Xu, Hong‐Dong Li

Frontiers in Genetics

2021

Integrative and sparse singular value decomposition method for biclustering analysis in multi-sources dataset

Qingsong Xu, Chuan‐Quan Li, Xiaoyan Wang, Hong‐Dong Li

Chemometrics and Intelligent Laboratory Systems

2021

Integrative functional genomic analysis of intron retention in human and mouse brain with Alzheimer's disease

Hong‐Dong Li, Cory C. Funk, Karen N. McFarland, Eric B. Dammer, Mariet Allen, Minerva M. Carrasquillo, Yona Levites, Paramita Chakrabarty, Jeremy D. Burgess, Xue Wang, Dennis W. Dickson, Nicholas T. Seyfried, Duc Minh Duong, James J. Lah, Steven G. Younkin, Allan I. Levey, Gilbert S. Omenn, Nilüfer Ertekin‐Taner, Todd Eliot Golde, Nathan D. Price

Alzheimer s & Dementia

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 Feng Pan, Jin Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2020

Identification of Disease-Associated Genes Based on Differential Intron Retention

Zhenpeng Wu, Jiantao Zheng, Hong‐Dong Li

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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

Journal of Bioinformatics and Computational Biology

2020

IsoDetect: Detection of Splice Isoforms from Third Generation Long Reads Based on Short Feature Sequences

Hong‐Dong Li, Wenjing Zhang, Yuwen Luo, Jianxin Wang

Current Bioinformatics

2020

A splicing factor switch controls hematopoietic lineage specification of pluripotent stem cells

Yapu Li, Ding Wang, Hongtao Wang, Xin Huang, Yuqi Wen, Bingrui Wang, Zefeng Xu, Jie Gao, Jinhua Liu, Jingyuan Tong, Mengge Wang, Pei Su, Sirui Ren, Feng Ma, Hong‐Dong Li, Emery H. Bresnick, Jiaxi Zhou, Lihong Shi

EMBO Reports

2020

Sc-GPE: A Graph Partitioning-Based Cluster Ensemble Method for Single-Cell

Xiaoshu Zhu, Jian Li, Hong‐Dong Li, Miao Xie, Jianxin Wang

Frontiers in Genetics

2020

Intron Retention as a Mode for RNA-Seq Data Analysis

Jiantao Zheng, Cuixiang Lin, Zhaoyu Fang, Hong‐Dong Li

Frontiers in Genetics

2020

Single-Cell Clustering Based on Shared Nearest Neighbor and Graph Partitioning

Xiaoshu Zhu, Jie Zhang, Yunpei Xu, Jianxin Wang, Xiaoqing Peng, Hong‐Dong Li

Interdisciplinary Sciences Computational Life Sciences

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2019

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

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

IEEE Transactions on Computational Biology and Bioinformatics

2019

Collaboration patterns and network in chemometrics

Chuan‐Quan Li, Nan Xiao, Ye Wen, Shi-Hui He, Yuanda Xu, Youwu Lin, Hong‐Dong Li, Qingsong Xu

Chemometrics and Intelligent Laboratory Systems

2019

Trim33 is required for appropriate development of pre-cardiogenic mesoderm

Sudha Sunil Rajderkar, Jeffrey M. Mann, Christopher Panaretos, Kenji Yumoto, Hong‐Dong Li, Yuji M. Mishina, Benjamin Ralston, Vesa Kaartinen

Developmental Biology

2019

An overview of variable selection methods in multivariate analysis of near-infrared spectra

Yong‐Huan Yun, Hong‐Dong Li, Baichuan Deng, Dongsheng Cao

TrAC Trends in Analytical Chemistry

2019

A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq Data

Xiaoshu Zhu, Hong‐Dong Li, Yunpei Xu, Lilu Guo, Fang‐Xiang Wu, Guihua Duan, Jianxin Wang

Genes

2019

A Sequence-Based Novel Approach for Quality Evaluation of Third-Generation Sequencing Reads

Wenjing Zhang, Neng Huang, Jiantao Zheng, Xingyu Liao, Jianxin Wang, Hong‐Dong Li

Genes

2018

生物信息学研究进展

李洪东,朱晓姝,王建新

《玉林师范学院学报》

2018

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

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

Bioinformatics

2018

BioRank: A Similarity Assessment Method for Single Cell Clustering

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2018

Analysis of Single-Cell RNA-seq Data by Clustering Approaches

Xiaoshu Zhu, Hong‐Dong Li, Lilu Guo, Fang‐Xiang Wu, Jianxin Wang

Current Bioinformatics

2018

An interpretable boosting model to predict side effects of analgesics for osteoarthritis

Liangliang Liu, Ying Yu, Zhihui Fei, Min Li, Fang‐Xiang Wu, Hong‐Dong Li, Yi Feng Pan, Jianxin Wang

BMC Systems Biology

2018

Chemometrics in instrumental analysis of complex systems—in honor and memory of Yi‐Zeng Liang

Zhimin Zhang, Hong‐Dong Li, Yong‐Huan Yun, Pan Ma, Lunzhao Yi, Dabing Ren, Liangxiao Zhang, Jun Yan, Naiping Dong, Baichuan Deng, Hongmei Lü

Journal of Chemometrics

2018

libPLS: An integrated library for partial least squares regression and linear discriminant analysis

Hong‐Dong Li, Qing‐Song Xu, Yi‐Zeng Liang

Chemometrics and Intelligent Laboratory Systems

2018

Brain-specific functional relationship networks inform autism spectrum disorder gene prediction

Marlena Duda, Hongjiu Zhang, Hong‐Dong Li, Dennis Paul Wall, Margit Burmeister, Yuanfang Guan

Translational Psychiatry

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2017

A selective review and comparison for interval variable selection in spectroscopic modeling

Lili Wang, Youwu Lin, Xufei Wang, Nan Xiao, Yuanda Xu, Hong‐Dong Li, Qing‐Song Xu

Chemometrics and Intelligent Laboratory Systems

2017

In honor of Professor Yizeng Liang (May 1950–Oct. 2016): A scientist of passion and innovation

Hong‐Dong Li

Chemometrics and Intelligent Laboratory Systems

2017

A phase diagram for gene selection and disease classification

Hong‐Dong Li, Qingsong Xu, Yi‐Zeng Liang

Chemometrics and Intelligent Laboratory Systems

2016

A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling

Hongdong Li, G. Omenn, Y. Guan

Briefings Bioinform.

2015

MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse

Hongdong Li, G. Omenn, Y. Guan

Database J. Biol. Databases Curation

2014

Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation

Fan Zhu, Lihong Shi, Hongdong Li, Ridvan Eksi, J. D. Engel, Y. Guan

Bioinform.

2013

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration

Yong‐Huan Yun, Wei‐Ting Wang, Minli Tan, Yi‐Zeng Liang, Hong‐Dong Li, Dongsheng Cao, Hongmei Lü, Qing‐Song Xu

Analytica Chimica Acta

2013

Analysis of the raw serum peptidomic pattern in glioma patients

Zheng Li, Hongmei Lü, Jing Yang, Xi Zeng, Lian Zhao, Hong‐Dong Li, Qianjing Liao, Shuping Peng, Ming Zhou, Minghua Wu, Juanjuan Xiang, Yanjin Wang, Guiyuan Li

Clinica Chimica Acta

2013

An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration

Yong‐Huan Yun, Hong‐Dong Li, Leslie R. E. Wood, Wei Fan, Jia-Jun Wang, Dongsheng Cao, Qing‐Song Xu, Yi‐Zeng Liang

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

2013

The continuity of sample complexity and its relationship to multivariate calibration: A general perspective on first-order calibration of spectral data in analytical chemistry

Hong‐Dong Li, Yi‐Zeng Liang, Xu-Xia Long, Yong‐Huan Yun, Qing‐Song Xu

Chemometrics and Intelligent Laboratory Systems

2013

A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems

Yong‐Huan Yun, Yi‐Zeng Liang, Gui-Xiang Xie, Hong‐Dong Li, Dongsheng Cao, Qing‐Song Xu

The Analyst

2013

Systematically Differentiating Functions for Alternatively Spliced Isoforms through Integrating RNA-seq Data

Ridvan Eksi, Hongdong Li, Rajasree Menon, Yuchen Wen, G. Omenn, M. Kretzler, Y. Guan

PLoS Comput. Biol.

2012

A model population analysis method for variable selection based on mutual information

Xu-Xia Long, Hong‐Dong Li, Wei Fan, Qing‐Song Xu, Yi‐Zeng Liang

Chemometrics and Intelligent Laboratory Systems

2012

Human Plasma Metabolic Profiles of Coronary Heart Disease by Gas Chromatography-Mass Spectrometry with Monte Carlo Tree Approach

Jidong Xia, Lunzhao Yi, Nian Liu, X. Wei, Dongsheng Cao, Hong‐Dong Li, Wei Fan, Wan Zhang, Dongsheng Wang, Yi‐Zeng Liang

Analytical Letters

2012

Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification

Hong‐Dong Li, Qing‐Song Xu, Yi‐Zeng Liang

Analytica Chimica Acta

2012

GC–MS Based Serum Metabolomic Analysis of Isoflurane-Induced Postoperative Cognitive Dysfunctional Rats: Biomarker Screening and Insight into Possible Pathogenesis

Wan Zhang, Liangxiao Zhang, Hong‐Dong Li, Yi‐Zeng Liang, Rong Hu, Nan-nan Liang, Wei Fan, Dongsheng Cao, Lunzhao Yi, Jidong Xia

Chromatographia

2012

Variable complementary network: a novel approach for identifying biomarkers and their mutual associations

Hong‐Dong Li, Qingsong Xu, Wan Zhang, Yi‐Zeng Liang

Metabolomics

2012

Model-population analysis and its applications in chemical and biological modeling

Hong‐Dong Li, Yi‐Zeng Liang, Dongsheng Cao, Qing‐Song Xu

TrAC Trends in Analytical Chemistry

2011

Recipe for uncovering predictive genes using support vector machines based on model population analysis

Hong‐Dong Li, Yi‐Zeng Liang, Qing‐Song Xu, Dongsheng Cao, Binbin Tan, Baichuan Deng, Chenchen Lin

IEEE Transactions on Computational Biology and Bioinformatics

2011

Application of Competitive Adaptive Reweighted Sampling Method to Determine Effective Wavelengths for Prediction of Total Acid of Vinegar

Wei Fan, Yang Shan, Gaoyang Li, Huiying Lv, Hong‐Dong Li, Yi‐Zeng Liang

Food Analytical Methods

2011

Elastic Net Grouping Variable Selection Combined with Partial Least Squares Regression (EN-PLSR) for the Analysis of Strongly Multi-collinear Spectroscopic Data

Guang‐Hui Fu, Qing‐Song Xu, Hong‐Dong Li, Dongsheng Cao, Yi‐Zeng Liang

Applied Spectroscopy

2011

Noise incorporated subwindow permutation analysis for informative gene selection using support vector machines

Qin Wang, Hong‐Dong Li, Qingsong Xu, Yi‐Zeng Liang

The Analyst

2010

A metabolic profiling strategy for biomarker screening by GC-MS combined with multivariate resolution method and Monte Carlo PLS-DA

Maomao Zeng, Yi‐Zeng Liang, Hong‐Dong Li, Bing Wang, Chen Xian

Analytical Methods

2010

Uncover the path from PCR to PLS via elastic component regression

Hong‐Dong Li, Yi‐Zeng Liang, Qing‐Song Xu

Chemometrics and Intelligent Laboratory Systems

2010

Model population analysis for variable selection

Hong‐Dong Li, Yi‐Zeng Liang, Qing‐Song Xu, Dongsheng Cao

Journal of Chemometrics

2010

Recipe for revealing informative metabolites based on model population analysis

Hong‐Dong Li, Maomao Zeng, Binbin Tan, Yi‐Zeng Liang, Qing‐Song Xu, Dongsheng Cao

Metabolomics

2010

GC–MS Combined with Chemometrics for Analysis of the Components of the Essential Oils of Sweet Potato Leaves

Mei Wang, Yunhai Xiong, Maomao Zeng, Hong‐Dong Li, Taiming Zhang, Yi‐Zeng Liang

Chromatographia

2010

Plasma metabolic fingerprinting of childhood obesity by GC/MS in conjunction with multivariate statistical analysis

Maomao Zeng, Yi‐Zeng Liang, Hong‐Dong Li, Mei Wang, Bing Wang, Xian Chen, Neng Zhou, Dongsheng Cao, Jing Wu

Journal of Pharmaceutical and Biomedical Analysis

2010

Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis

Chen Yao, Hongdong Li, Chenggui Zhou, Lin Zhang, Jinfeng Zou, Zheng Guo

BMC Systems Biology

2009

Identification of free fatty acids profiling of type 2 diabetes mellitus and exploring possible biomarkers by GC–MS coupled with chemometrics

Binbin Tan, Yi‐Zeng Liang, Lunzhao Yi, Hong‐Dong Li, Zhiguang Zhou, Xiaoyan Ji, Jiahui Deng

Metabolomics

2009

Essential Oil Composition of Osmanthus fragrans Varieties by GC-MS and Heuristic Evolving Latent Projections

Chundi Hu, Yi‐Zeng Liang, Xiaoru Li, Fang-Qiu Guo, Maomao Zeng, Liangxiao Zhang, Hong‐Dong Li

Chromatographia

2009

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration

Hong‐Dong Li, Yi‐Zeng Liang, Qing‐Song Xu, Dongsheng Cao

Analytica Chimica Acta

2008

Support vector machines and its applications in chemistry

Hong‐Dong Li, Yi‐Zeng Liang, Qingsong Xu

Chemometrics and Intelligent Laboratory Systems

2007

Comparative analysis of essential oil components in Pericarpium Citri Reticulatae Viride and Pericarpium Citri Reticulatae by GC–MS combined with chemometric resolution method

Yamin Wang, Lunzhao Yi, Yi‐Zeng Liang, Hong‐Dong Li, Dalin Yuan, Haiyan Gao, Maomao Zeng

Journal of Pharmaceutical and Biomedical Analysis

预印本

2026

stEDGE enables edge-guided multiscale reconstruction of hierarchical spatial domains and transition interfaces in spatial transcriptomics

Yi He, Shuqi Chen, Liqing Ding, Ruimin He, Xiaoqing Peng, Guihua Duan, Honglin Zhu, Hong‐Dong Li, Shaokai Wang, Jianxin Wang

bioRxiv (Cold Spring Harbor Laboratory)

2025

Inference and visualization of multi-scale cell tree for decoding functional diversity with scMustree

Yunpei Xu, Shaokai Wang, Liqing Ding, Hong‐Dong Li, Jianxin Wang

bioRxiv (Cold Spring Harbor Laboratory)

2021

Genome-wide prediction and integrative functional characterization of Alzheimer’s disease-associated genes

Cuixiang Lin, Hong‐Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang‐Xiang Wu, Xing‐Ming Zhao, Jun Wang, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang, Jianxin Wang

bioRxiv (Cold Spring Harbor Laboratory)

书籍章节

2020

Functional Gene Networks and Their Applications

Hong‐Dong Li, Yuanfang Guan

Computational biology

此主页由公开资料整理,尚未经学者本人认领。