Hao Lin

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Transcription Factor

Top Venues

Briefings in bioinformatics

BioMed research international

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

International journal of molecular sciences

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

Publications

Xiao-Wei Liu, Han-Lin Li, Cai-Yi Ma, Tian-Yu Shi, Tian-Yu Wang, Dan Yan, Hua Tang, Hao Lin, Ke-Jun Deng
Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods. Briefings in functional genomics 23 (4) (2024)
Yang Zhang, Caiqi Liu, Mujiexin Liu, Tianyuan Liu, Hao Lin, Cheng-Bing Huang, Lin Ning
Attention is all you need: utilizing attention in AI-enabled drug discovery. Briefings in bioinformatics 25 (1) (2024)
Xiao-Wei Liu, Han-Lin Li, Cai-Yi Ma, Tian-Yu Shi, Tian-Yu Wang, Dan Yan, Hua Tang, Hao Lin, Ke-Jun Deng
Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods. Briefings in functional genomics (2024)
Tianyuan Liu, Huiyuan Qiao, Zixu Wang, Xinyan Yang, Xianrun Pan, Yu Yang, Xiucai Ye, Tetsuya Sakurai, Hao Lin, Yang Zhang
CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (22) (2024)
Hong-Qi Zhang, Shang-Hua Liu, Rui Li, Jun-Wen Yu, Dong-Xin Ye, Shi-Shi Yuan, Hao Lin, Cheng-Bing Huang, Hua Tang
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier. ACS omega 9 (7) (2024)
Yang Zhang, Caiqi Liu, Mujiexin Liu, Tianyuan Liu, Hao Lin, Cheng-Bing Huang, Lin Ning
Attention is all you need: utilizing attention in AI-enabled drug discovery. Briefings in bioinformatics 25 (1) (2024)
Yang Zhang, Caiqi Liu, Mujiexin Liu, Tianyuan Liu, Hao Lin, Cheng-Bing Huang, Lin Ning
Attention is all you need: utilizing attention in AI-enabled drug discovery. Briefings in bioinformatics 25 (1) (2024)
Hong-Qi Zhang, Shang-Hua Liu, Rui Li, Jun-Wen Yu, Dong-Xin Ye, Shi-Shi Yuan, Hao Lin, Cheng-Bing Huang, Hua Tang
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier. ACS omega 9 (7) (2024)
Tianyuan Liu, Huiyuan Qiao, Zixu Wang, Xinyan Yang, Xianrun Pan, Yu Yang, Xiucai Ye, Tetsuya Sakurai, Hao Lin, Yang Zhang
CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (22) (2024)
Zahoor Ahmed, Kiran Shahzadi, Yanting Jin, Rui Li, Biffon Manyura Momanyi, Hasan Zulfiqar, Lin Ning, Hao Lin
Proteomics (2024)
Tianyuan Liu, Huiyuan Qiao, Zixu Wang, Xinyan Yang, Xianrun Pan, Yu Yang, Xiucai Ye, Tetsuya Sakurai, Hao Lin, Yang Zhang
CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs. Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Tianyuan Liu, Huiyuan Qiao, Zixu Wang, Xinyan Yang, Xianrun Pan, Yu Yang, Xiucai Ye, Tetsuya Sakurai, Hao Lin, Yang Zhang
CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs. Advanced science (Weinheim, Baden-Wurttemberg, Germany) 11 (22) (2024)
Zhao-Yue Zhang, Zi-Jie Sun, Dong Gao, Yu-Duo Hao, Hao Lin, Fen Liu
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression. IET systems biology (2024)
Xiao-Wei Liu, Han-Lin Li, Cai-Yi Ma, Tian-Yu Shi, Tian-Yu Wang, Dan Yan, Hua Tang, Hao Lin, Ke-Jun Deng
Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods. Briefings in functional genomics 23 (4) (2024)
Li Liu, Kaiyuan Han, Huimin Sun, Lu Han, Dong Gao, Qilemuge Xi, Lirong Zhang, Hao Lin
A comprehensive review of bioinformatics tools for chromatin loop calling. Briefings in bioinformatics (2023)
Xiao-Wei Liu, Tian-Yu Shi, Dong Gao, Cai-Yi Ma, Hao Lin, Dan Yan, Ke-Jun Deng
iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms. Journal of chemical information and modeling (2023)
Wen Zhu, Shi-Shi Yuan, Jian Li, Cheng-Bing Huang, Hao Lin, Bo Liao
A First Computational Frame for Recognizing Heparin-Binding Protein. Diagnostics (Basel, Switzerland) 13 (14) (2023)
Li Liu, Kaiyuan Han, Huimin Sun, Lu Han, Dong Gao, Qilemuge Xi, Lirong Zhang, Hao Lin
A comprehensive review of bioinformatics tools for chromatin loop calling. Briefings in bioinformatics 24 (2) (2023)
Hui Yang, Ya-Mei Luo, Cai-Yi Ma, Tian-Yu Zhang, Tao Zhou, Xiao-Lei Ren, Xiao-Lin He, Ke-Jun Deng, Dan Yan, Hua Tang, Hao Lin
A gender specific risk assessment of coronary heart disease based on physical examination data. NPJ digital medicine 6 (1) (2023)
Li Liu, Kaiyuan Han, Huimin Sun, Lu Han, Dong Gao, Qilemuge Xi, Lirong Zhang, Hao Lin
A comprehensive review of bioinformatics tools for chromatin loop calling. Briefings in bioinformatics 24 (2) (2023)
Hao Lv, Fu-Ying Dao, Hao Lin
DeepKla: An attention mechanism-based deep neural network for protein lysine lactylation site prediction. iMeta 1 (1) (2022)
Xiaoming Song, Nan Li, Yingchao Zhang, Yi Liang, Rong Zhou, Tong Yu, Shaoqin Shen, Shuyan Feng, Yu Zhang, Xiuqing Li, Hao Lin, Xiyin Wang
Transcriptomics and Genomics Analysis Uncover the Differentially Expressed Chlorophyll and Carotenoid-Related Genes in Celery. International journal of molecular sciences 23 (16) (2022)
Fu-Ying Dao, Hao Lv, Melissa Jane Fullwood, Hao Lin
Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information. Research (Washington, D.C.) 2022 (2022)
Hao Lv, Fu-Ying Dao, Hao Lin
DeepKla: An attention mechanism-based deep neural network for protein lysine lactylation site prediction. iMeta 1 (1) (2022)
Zhuo Liu, Nan Li, Tong Yu, Zhiyuan Wang, Jiaqi Wang, Jun Ren, Jinghua He, Yini Huang, Keqian Shi, Qihang Yang, Tong Wu, Hao Lin, Xiaoming Song
The Brassicaceae genome resource (TBGR): A comprehensive genome platform for Brassicaceae plants. Plant physiology 190 (1) (2022)
Hongfei Li, Yue Gong, Yifeng Liu, Hao Lin, Guohua Wang
Detection of transcription factors binding to methylated DNA by deep recurrent neural network. Briefings in bioinformatics 23 (1) (2022)
Zijie Sun, Qinlai Huang, Yuhe Yang, Shihao Li, Hao Lv, Yang Zhang, Hao Lin, Lin Ning
PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization. Briefings in bioinformatics 23 (4) (2022)
Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, Zi-Jie Sun, Fu-Ying Dao, Hao Lin
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique. International journal of molecular sciences 23 (3) (2022)
Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings in bioinformatics 23 (5) (2022)
Yuhe Yang, Dong Gao, Xueqin Xie, Jiaan Qin, Jian Li, Hao Lin, Dan Yan, Kejun Deng
DeepIDC: A Prediction Framework of Injectable Drug Combination Based on Heterogeneous Information and Deep Learning. Clinical pharmacokinetics (2022)
Zahoor Ahmed, Hasan Zulfiqar, Lixia Tang, Hao Lin
A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins. International journal of molecular sciences 23 (17) (2022)
Dan Zhang, Zhao-Chun Xu, Wei Su, Yu-He Yang, Hao Lv, Hui Yang, Hao Lin
iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features. Bioinformatics (Oxford, England) 37 (2) (2021)
Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, DuoLin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu, Hao Lin, Dong Wang
RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation. Nucleic acids research (2021)
Duolin Wang, Zhaoyue Zhang, Yuexu Jiang, Ziting Mao, Dong Wang, Hao Lin, Dong Xu
DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism. Nucleic acids research 49 (8) (2021)
Hao Lv, Fu-Ying Dao, Dan Zhang, Hui Yang, Hao Lin
Advances in mapping the epigenetic modifications of 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC). Biotechnology and bioengineering 118 (11) (2021)
Lirong Zhang, Yanchao Yang, Lu Chai, Qianzhong Li, Junjie Liu, Hao Lin, Li Liu
A deep learning model to identify gene expression level using cobinding transcription factor signals. Briefings in bioinformatics (2021)
Hao Lv, Yang Zhang, Jia-Shu Wang, Shi-Shi Yuan, Zi-Jie Sun, Fu-Ying Dao, Zheng-Xing Guan, Hao Lin, Ke-Jun Deng
iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice. Briefings in bioinformatics (2021)
Hao Lv, Fu-Ying Dao, Hasan Zulfiqar, Wei Su, Hui Ding, Li Liu, Hao Lin
A sequence-based deep learning approach to predict CTCF-mediated chromatin loop. Briefings in bioinformatics 22 (5) (2021)
Fu-Ying Dao, Hao Lv, Wei Su, Zi-Jie Sun, Qin-Lai Huang, Hao Lin
iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network. Briefings in bioinformatics 22 (5) (2021)
Wei Chen, Pengmian Feng, Kewei Liu, Meng Wu, Hao Lin
Computational Identification of Small Interfering RNA Targets in SARS-CoV-2. Virologica Sinica 35 (3) (2020)
Yanyuan Pan, Hui Gao, Hao Lin, Zhen Liu, Lixia Tang, Songtao Li
Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree. International journal of molecular sciences 19 (6) (2018)
Wei Chen, Hao Lin
Recent Advances in Identification of RNA Modifications. Non-coding RNA 3 (1) (2016)
Huan Yang, Hua Tang, Xin-Xin Chen, Chang-Jian Zhang, Pan-Pan Zhu, Hui Ding, Wei Chen, Hao Lin
Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition. BioMed research international 2016 (2016)
Xin-Xin Chen, Hua Tang, Wen-Chao Li, Hao Wu, Wei Chen, Hui Ding, Hao Lin
Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition. BioMed research international 2016 (2016)
Hao Lin, Wei Chen
Briefing in application of machine learning methods in ion channel prediction. TheScientificWorldJournal 2015 (2015)
Hao Lin, Wei Chen, Ramu Anandakrishnan, Dariusz Plewczynski
Application of machine learning method in genomics and proteomics. TheScientificWorldJournal 2015 (2015)
Pengmian Feng, Hao Lin, Wei Chen, Yongchun Zuo
Predicting the types of J-proteins using clustered amino acids. BioMed research international 2014 (2014)
Wei Chen, Peng-Mian Feng, Hao Lin, Kuo-Chen Chou
iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. BioMed research international 2014 (2014)