Tao Huang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 61

Top Venues

Life (Basel, Switzerland)

BioMed research international

Genes

International journal of molecular sciences

Institute of Health Sciences, Chinese Academy of Sciences

Shanghai Institutes for Biological Sciences (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Institute of Health Sciences, Chinese Academy of Sciences Oct 31 2014

China

Director :: Bioinformatics Core Facility

Icahn School of Medicine at Mount Sinai Aug 14 2012 - Aug 06 2014

United States

Postdoctoral Fellow :: Department of Genetics and Genomics Sciences

Education History

Shanghai Institutes for Biological Sciences Sep 01 2007 - Jul 01 2012

China

PHD :: Key Laboratory of Systems Biology

Huazhong University of Science and Technology Sep 01 2003 - Jul 01 2007

China

BSC :: College of Life Sciences

Publications

Qinglan Ma, Yulong Shen, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung. Life (Basel, Switzerland) 14 (4) (2024)
Qinglan Ma, Yu-Hang Zhang, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Machine Learning in Identifying Marker Genes for Congenital Heart Diseases of Different Cardiac Cell Types. Life (Basel, Switzerland) 14 (8) (2024)
Qinglan Ma, Yulong Shen, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Machine Learning Reveals Impacts of Smoking on Gene Profiles of Different Cell Types in Lung. Life (Basel, Switzerland) 14 (4) (2024)
Qing-Lan Ma, Fei-Ming Huang, Wei Guo, Kai-Yan Feng, Tao Huang, Yu-Dong Cai
Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity. Life (Basel, Switzerland) 13 (6) (2023)
Haotian Ren, Yixue Li, Tao Huang
Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k -mers. Microorganisms 11 (11) (2023)
Qinglan Ma, FeiMing Huang, Wei Guo, KaiYan Feng, Tao Huang, Yu-Dong Cai
Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods. Life (Basel, Switzerland) 13 (6) (2023)
Jingxin Ren, Yu-Hang Zhang, Wei Guo, Kaiyan Feng, Ye Yuan, Tao Huang, Yu-Dong Cai
Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods. Life (Basel, Switzerland) 13 (3) (2023)
Jingxin Ren, Yu-Hang Zhang, Wei Guo, Kaiyan Feng, Ye Yuan, Tao Huang, Yu-Dong Cai
Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods. Life (Basel, Switzerland) 13 (3) (2023)
Yaochen Xu, Qinglan Ma, Jingxin Ren, Lei Chen, Wei Guo, Kaiyan Feng, Zhenbing Zeng, Tao Huang, Yu-Dong Cai
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells. Life (Basel, Switzerland) 13 (4) (2023)
FeiMing Huang, QingLan Ma, JingXin Ren, JiaRui Li, Fen Wang, Tao Huang, Yu-Dong Cai
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning Methods. BioMed research international 2023 (2023)
Yaochen Xu, Qinglan Ma, Jingxin Ren, Lei Chen, Wei Guo, Kaiyan Feng, Zhenbing Zeng, Tao Huang, Yu-Dong Cai
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells. Life (Basel, Switzerland) 13 (4) (2023)
Qinglan Ma, FeiMing Huang, Wei Guo, KaiYan Feng, Tao Huang, Yu-Dong Cai
Identification of Phase-Separation-Protein-Related Function Based on Gene Ontology by Using Machine Learning Methods. Life (Basel, Switzerland) 13 (6) (2023)
FeiMing Huang, QingLan Ma, JingXin Ren, JiaRui Li, Fen Wang, Tao Huang, Yu-Dong Cai
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning Methods. BioMed research international 2023 (2023)
Jing-Xin Ren, Qian Gao, Xiao-Chao Zhou, Lei Chen, Wei Guo, Kai-Yan Feng, Lin Lu, Tao Huang, Yu-Dong Cai
Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes. Biology 12 (7) (2023)
Yichen Pan, Haotian Ren, Liang Lan, Yixue Li, Tao Huang
Review of Predicting Synergistic Drug Combinations. Life (Basel, Switzerland) 13 (9) (2023)
Qing-Lan Ma, Fei-Ming Huang, Wei Guo, Kai-Yan Feng, Tao Huang, Yu-Dong Cai
Machine Learning Classification of Time since BNT162b2 COVID-19 Vaccination Based on Array-Measured Antibody Activity. Life (Basel, Switzerland) 13 (6) (2023)
FeiMing Huang, QingLan Ma, JingXin Ren, JiaRui Li, Fen Wang, Tao Huang, Yu-Dong Cai
Identification of Smoking-Associated Transcriptome Aberration in Blood with Machine Learning Methods. BioMed research international 2023 (2023)
Yaochen Xu, Qinglan Ma, Jingxin Ren, Lei Chen, Wei Guo, Kaiyan Feng, Zhenbing Zeng, Tao Huang, Yu-Dong Cai
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells. Life (Basel, Switzerland) 13 (4) (2023)
Yong Yang, Yu-Hang Zhang, Jingxin Ren, Kaiyan Feng, Zhandong Li, Tao Huang, Yu-Dong Cai
Identification of Colon Immune Cell Marker Genes Using Machine Learning Methods. Life (Basel, Switzerland) 13 (9) (2023)
Jingxin Ren, Yu-Hang Zhang, Wei Guo, Kaiyan Feng, Ye Yuan, Tao Huang, Yu-Dong Cai
Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods. Life (Basel, Switzerland) 13 (3) (2023)
Wei Wei, Yixue Li, Tao Huang
Using Machine Learning Methods to Study Colorectal Cancer Tumor Micro-Environment and Its Biomarkers. International journal of molecular sciences 24 (13) (2023)
Yaochen Xu, Qinglan Ma, Jingxin Ren, Lei Chen, Wei Guo, Kaiyan Feng, Zhenbing Zeng, Tao Huang, Yu-Dong Cai
Using Machine Learning Methods in Identifying Genes Associated with COVID-19 in Cardiomyocytes and Cardiac Vascular Endothelial Cells. Life (Basel, Switzerland) 13 (4) (2023)
Lei Chen, ZhanDong Li, ShiQi Zhang, Yu-Hang Zhang, Tao Huang, Yu-Dong Cai
Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions. BioMed research international 2022 (2022)
Jingxin Ren, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. Life (Basel, Switzerland) 12 (12) (2022)
Jingxin Ren, XianChao Zhou, Wei Guo, KaiYan Feng, Tao Huang, Yu-Dong Cai
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods. BioMed research international 2022 (2022)
Xiaohong Li, Xianchao Zhou, Shijian Ding, Lei Chen, Kaiyan Feng, Hao Li, Tao Huang, Yu-Dong Cai
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods. Biomolecules 12 (12) (2022)
Jingxin Ren, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. Life (Basel, Switzerland) 12 (12) (2022)
Jingxin Ren, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. Life (Basel, Switzerland) 12 (12) (2022)
Jingxin Ren, Wei Guo, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods. Life (Basel, Switzerland) 12 (12) (2022)
Feiming Huang, Lei Chen, Wei Guo, Xianchao Zhou, Kaiyan Feng, Tao Huang, Yu-Dong Cai
Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method. Life (Basel, Switzerland) 12 (6) (2022)
Shijian Ding, Deling Wang, Xianchao Zhou, Lei Chen, Kaiyan Feng, Xianling Xu, Tao Huang, Zhandong Li, Yu-Dong Cai
Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method. Life (Basel, Switzerland) 12 (2) (2022)
Xiaohong Li, Xianchao Zhou, Shijian Ding, Lei Chen, Kaiyan Feng, Hao Li, Tao Huang, Yu-Dong Cai
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods. Biomolecules 12 (12) (2022)
Lei Chen, Zi Mei, Wei Guo, ShiJian Ding, Tao Huang, Yu-Dong Cai
Recognition of Immune Cell Markers of COVID-19 Severity with Machine Learning Methods. BioMed research international 2022 (2022)
Yu-Hang Zhang, ShiJian Ding, Lei Chen, Tao Huang, Yu-Dong Cai
Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods. BioMed research international 2022 (2022)
Zhandong Li, Wei Guo, Shijian Ding, Kaiyan Feng, Lin Lu, Tao Huang, Yu-Dong Cai
Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods. Biology 11 (4) (2022)
Jingxin Ren, XianChao Zhou, Wei Guo, KaiYan Feng, Tao Huang, Yu-Dong Cai
Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods. BioMed research international 2022 (2022)
Xiaohong Li, Xianchao Zhou, Shijian Ding, Lei Chen, Kaiyan Feng, Hao Li, Tao Huang, Yu-Dong Cai
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods. Biomolecules 12 (12) (2022)
FeiMing Huang, Lei Chen, Wei Guo, Tao Huang, Yu-Dong Cai
Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods. BioMed research international 2022 (2022)
Jinrong Liao, Zeng Chen, Xingguang Luo, Ying Su, Tao Huang, Haipeng Xu, Keyu Lin, Qianlan Zheng, Lurong Zhang, Gen Lin, Xiandong Lin
Hsa_circ_0006692 Promotes Lung Cancer Progression via miR-205-5p/CDK19 Axis. Genes 13 (5) (2022)
Xiaohong Li, Xianchao Zhou, Shijian Ding, Lei Chen, Kaiyan Feng, Hao Li, Tao Huang, Yu-Dong Cai
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods. Biomolecules 12 (12) (2022)
Xianchao Zhou, Shijian Ding, Deling Wang, Lei Chen, Kaiyan Feng, Tao Huang, Zhandong Li, Yu-Dong Cai
Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles. Life (Basel, Switzerland) 12 (4) (2022)
Ke Li, Xufen Zheng, Hua Tang, Yuan-Sheng Zang, Chunling Zeng, Xiaoxiao Liu, Yanying Shen, Yuzhi Pang, Simin Wang, Feifei Xie, Xiaojing Lu, Yuxiang Luo, Zhang Li, Wenbo Bi, Xiaona Jia, Tao Huang, Rongqiang Wei, Kenan Huang, Zihao Chen, Qingchen Zhu, Yi He, Miaoying Zhang, Zhizhan Gu, Yi-Chuan Xiao, Xiaoyang Zhang, Jonathan A Fletcher, Yuexiang Wang
E3 ligase MKRN3 is a tumor suppressor regulating PABPC1 ubiquitination in non-small cell lung cancer. The Journal of experimental medicine 218 (8) (2021)
Yu-Hang Zhang, Zhandong Li, Tao Zeng, Lei Chen, Hao Li, Margarita Gamarra, Romany F Mansour, José Escorcia-Gutierrez, Tao Huang, Yu-Dong Cai
Investigating gene methylation signatures for fetal intolerance prediction. PloS one 16 (4) (2021)
Lei Chen, Zhandong Li, Tao Zeng, Yu-Hang Zhang, KaiYan Feng, Tao Huang, Yu-Dong Cai
Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods. BioMed research international 2021 (2021)
Guo-Hua Huang, Yu-Hang Zhang, Lei Chen, You Li, Tao Huang, Yu-Dong Cai
Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data. Life (Basel, Switzerland) 11 (9) (2021)
Yu-Hang Zhang, Zhandong Li, Lin Lu, Tao Zeng, Lei Chen, Hao Li, Tao Huang, Yu-Dong Cai
Analysis of the Sequence Characteristics of Antifreeze Protein. Life (Basel, Switzerland) 11 (6) (2021)
YuHang Zhang, Tao Zeng, Lei Chen, ShiJian Ding, Tao Huang, Yu-Dong Cai
Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus-Human Protein Interaction Network. BioMed research international 2020 (2020)
Min Li, XiaoYong Pan, Tao Zeng, Yu-Hang Zhang, Kaiyan Feng, Lei Chen, Tao Huang, Yu-Dong Cai
Alternative Polyadenylation Modification Patterns Reveal Essential Posttranscription Regulatory Mechanisms of Tumorigenesis in Multiple Tumor Types. BioMed research international 2020 (2020)
Lei Chen, Tao Zeng, Xiaoyong Pan, Yu-Hang Zhang, Tao Huang, Yu-Dong Cai
Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes. International journal of molecular sciences 20 (17) (2019)
Fei Yuan, Xiaoyong Pan, Lei Chen, Yu-Hang Zhang, Tao Huang, Yu-Dong Cai
Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway. BioMed research international 2019 (2019)
Xiaoyong Pan, Lei Chen, Kai-Yan Feng, Xiao-Hua Hu, Yu-Hang Zhang, Xiang-Yin Kong, Tao Huang, Yu-Dong Cai
Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms. International journal of molecular sciences 20 (9) (2019)
Xiaoyong Pan, Xiaohua Hu, Yu Hang Zhang, Kaiyan Feng, Shao Peng Wang, Lei Chen, Tao Huang, Yu-Dong Cai
Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection. Genes 9 (4) (2018)
Deling Wang, Jia-Rui Li, Yu-Hang Zhang, Lei Chen, Tao Huang, Yu-Dong Cai
Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning Algorithms. Genes 9 (3) (2018)
Yu-Dong Cai, Shiqi Zhang, Yu-Hang Zhang, Xiaoyong Pan, KaiYan Feng, Lei Chen, Tao Huang, Xiangyin Kong
Identification of the Gene Expression Rules That Define the Subtypes in Glioma. Journal of clinical medicine 7 (10) (2018)
Yu-Dong Cai, Tao Huang, Jialiang Yang
Applications of Bioinformatics and Systems Biology in Precision Medicine and Immunooncology. BioMed research international 2018 (2018)
Lei Chen, Yu-Hang Zhang, Xiaoyong Pan, Min Liu, Shaopeng Wang, Tao Huang, Yu-Dong Cai
Tissue Expression Difference between mRNAs and lncRNAs. International journal of molecular sciences 19 (11) (2018)
Lei Chen, Hongying Pan, Yu-Hang Zhang, Kaiyan Feng, XiangYin Kong, Tao Huang, Yu-Dong Cai
Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues. Genes 8 (10) (2017)
Lei Chen, Yu-Hang Zhang, JiaRui Li, ShaoPeng Wang, YunHua Zhang, Tao Huang, Yu-Dong Cai
Deciphering the Relationship between Obesity and Various Diseases from a Network Perspective. Genes 8 (12) (2017)
Chenglin Liu, Yu-Hang Zhang, Qinfang Deng, Yi-Xue Li, Tao Huang, Songwen Zhou, Yu-Dong Cai
Cancer-Related Triplets of mRNA-lncRNA-miRNA Revealed by Integrative Network in Uterine Corpus Endometrial Carcinoma. BioMed research international 2017 (2017)
JiaRui Li, Lei Chen, ShaoPeng Wang, YuHang Zhang, XiangYin Kong, Tao Huang, Yu-Dong Cai
A computational method using the random walk with restart algorithm for identifying novel epigenetic factors. Molecular genetics and genomics : MGG 293 (1) (2017)
Tao Huang, Lei Chen, Jiangning Song, Mingyue Zheng, Jialiang Yang, Zhenguo Zhang
Integrated Analysis of Multiscale Large-Scale Biological Data for Investigating Human Disease 2016. BioMed research international 2016 (2016)
Tao Huang, Jing Yang, Yu-Dong Cai
Novel candidate key drivers in the integrative network of genes, microRNAs, methylations, and copy number variations in squamous cell lung carcinoma. BioMed research international 2015 (2015)
Yudong Cai, Tao Huang, Lei Chen, Bing Niu
Application of systems biology and bioinformatics methods in biochemistry and biomedicine 2014. BioMed research international 2015 (2015)
Tao Huang, Lei Chen, Mingyue Zheng, Jiangning Song
Integrated analysis of multiscale large-scale biological data for investigating human disease. BioMed research international 2015 (2015)
Yudong Cai, Tao Huang, Lei Chen, Shan Gao, Ning Zhang
Novel computational methods and tools in biomedicine and biopharmacy. Computational and mathematical methods in medicine 2014 (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tao Huang