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Hao Lin 0001
Person information
- affiliation: University of Electronic Science and Technology of China, Chengdu, China
Other persons with the same name
- Hao Lin — disambiguation page
- Hao Lin 0002 — Beihang University, School of Economics and Management, Beijing, China
- Hao Lin 0003 — Inner Mongolia University of Technology, Hohhot, China
- Hao Lin 0004 — China University of Geosciences, Wuhan, China
- Hao Lin 0005 — Tsinghua University, Beijing, China
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2020 – today
- 2024
- [j54]Cai-Yi Ma, Yamei Luo, Tian-Yu Zhang, Yu-Duo Hao, Xue-Qin Xie, Xiao-Wei Liu, Xiaolei Ren, Xiaolin He, Yu-Mei Han, Ke-Jun Deng, Dan Yan, Hui Yang, Hua Tang, Hao Lin:
Predicting coronary heart disease in Chinese diabetics using machine learning. Comput. Biol. Medicine 169: 107952 (2024) - [j53]Xue-Qin Xie, Changchun Wu, Cai-Yi Ma, Dong Gao, Wei Sun, Jian Huang, Kejun Deng, Dan Yan, Hao Lin:
Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus. Expert Syst. Appl. 255: 124702 (2024) - [j52]Bakanina Kissanga Grace-Mercure, Hasan Zulfiqar, Shenghan Gao, Sophyani Banaamwini Yussif, Biffon Manyura Momanyi, Lin Ning, Hao Lin, Cheng-Bing Huang:
E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization. Inf. 15(3): 163 (2024) - 2023
- [j51]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 Bioinform. 24(2) (2023) - [j50]Jie Gao, Yongxian Feng, Yan Yang, Yuetong Shi, Junjie Liu, Hao Lin, Lirong Zhang:
Identification of Key DNA methylation sites related to differentially expressed genes in Lung squamous cell carcinoma. Comput. Biol. Medicine 167: 107615 (2023) - [j49]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. J. Chem. Inf. Model. 63(15): 4960-4969 (2023) - [j48]Hui Yang, Yamei Luo, Cai-Yi Ma, Tian-Yu Zhang, Tao Zhou, Xiaolei Ren, Xiaolin He, Kejun Deng, Dan Yan, Hua Tang, Hao Lin:
A gender specific risk assessment of coronary heart disease based on physical examination data. npj Digit. Medicine 6 (2023) - 2022
- [j47]Hongfei Li, Yue Gong, Yifeng Liu, Hao Lin, Guohua Wang:
Detection of transcription factors binding to methylated DNA by deep recurrent neural network. Briefings Bioinform. 23(1) (2022) - [j46]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 Bioinform. 23(1) (2022) - [j45]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 Bioinform. 23(1) (2022) - [j44]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 Bioinform. 23(4) (2022) - [j43]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 Bioinform. 23(5) (2022) - [j42]Jianqiang Xiao, Mujiexin Liu, Qinlai Huang, Zijie Sun, Lin Ning, Junguo Duan, Siquan Zhu, Jian Huang, Hao Lin, Hui Yang:
Analysis and modeling of myopia-related factors based on questionnaire survey. Comput. Biol. Medicine 150: 106162 (2022) - [j41]Zhao-Yue Zhang, Zi-Jie Sun, Yu-He Yang, Hao Lin:
Towards a better prediction of subcellular location of long non-coding RNA. Frontiers Comput. Sci. 16(5): 165903 (2022) - [j40]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 Res. 50(D1): 333-339 (2022) - 2021
- [j39]Zhao-Yue Zhang, Yu-He Yang, Hui Ding, Dong Wang, Wei Chen, Hao Lin:
Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. Briefings Bioinform. 22(1): 526-535 (2021) - [j38]Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin:
A computational platform to identify origins of replication sites in eukaryotes. Briefings Bioinform. 22(2): 1940-1950 (2021) - [j37]Fu-Ying Dao, Hao Lv, Dan Zhang, Zi-Mei Zhang, Li Liu, Hao Lin:
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops. Briefings Bioinform. 22(4) (2021) - [j36]Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Hui Yang, Yan-Wen Li, Hao Lin:
Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method. Briefings Bioinform. 22(4) (2021) - [j35]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 Bioinform. 22(5) (2021) - [j34]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. Bioinform. 37(2): 171-177 (2021) - [j33]Hui Yang, Yamei Luo, Xiaolei Ren, Ming Wu, Xiaolin He, Bowen Peng, Kejun Deng, Dan Yan, Hua Tang, Hao Lin:
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators. Inf. Fusion 75: 140-149 (2021) - 2020
- [j32]Hao Lv, Zi-Mei Zhang, Shi-Hao Li, Jiu-Xin Tan, Wei Chen, Hao Lin:
Evaluation of different computational methods on 5-methylcytosine sites identification. Briefings Bioinform. 21(3): 982-995 (2020) - [j31]Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding, Wei Chen, Hao Lin:
A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. Briefings Bioinform. 21(5): 1568-1580 (2020) - [j30]Jun Wang, Pu-Feng Du, Xin-Yu Xue, Guang-Ping Li, Yuan-Ke Zhou, Wei Zhao, Hao Lin, Wei Chen:
VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences. Bioinform. 36(4): 1277-1278 (2020) - [j29]Qiang Tang, Juanjuan Kang, Jiaqing Yuan, Hua Tang, Xianhai Li, Hao Lin, Jian Huang, Wei Chen:
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species. Bioinform. 36(11): 3327-3335 (2020)
2010 – 2019
- 2019
- [j28]Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen, Hua Tang, Hao Lin:
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinform. 35(9): 1469-1477 (2019) - [j27]Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding, Wei Chen, Hao Lin:
Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique. Bioinform. 35(12): 2075-2083 (2019) - [j26]Wei Chen, Hao Lv, Fulei Nie, Hao Lin:
i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome. Bioinform. 35(16): 2796-2800 (2019) - [j25]Yang Zhang, Tianyuan Liu, Liqun Chen, Jinxurong Yang, Jiayi Yin, Yuncong Zhang, Zhixi Yun, Hao Xu, Lin Ning, Feng-Biao Guo, Yongshuai Jiang, Hao Lin, Dong Wang, Yan Huang, Jian Huang:
RIscoper: a tool for RNA-RNA interaction extraction from the literature. Bioinform. 35(17): 3199-3202 (2019) - [j24]Zhao-Chun Xu, Peng-Mian Feng, Hui Yang, Wangren Qiu, Wei Chen, Hao Lin:
iRNAD: a computational tool for identifying D modification sites in RNA sequence. Bioinform. 35(23): 4922-4929 (2019) - [j23]Xiao-Juan Zhu, Chao-Qin Feng, Hong-Yan Lai, Wei Chen, Hao Lin:
Predicting protein structural classes for low-similarity sequences by evaluating different features. Knowl. Based Syst. 163: 787-793 (2019) - [j22]Hao Lin, Zhi-Yong Liang, Hua Tang, Wei Chen:
Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1316-1321 (2019) - 2018
- [j21]Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo-Chen Chou, Hao Lin:
iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinform. 34(24): 4196-4204 (2018) - [j20]Hui Yang, Hao Lv, Hui Ding, Wei Chen, Hao Lin:
iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens. J. Comput. Biol. 25(11): 1266-1277 (2018) - 2017
- [j19]Wangren Qiu, Bi-Qian Sun, Hua Tang, Jian Huang, Hao Lin:
Identify and analysis crotonylation sites in histone by using support vector machines. Artif. Intell. Medicine 83: 75-81 (2017) - [j18]Zhi-Yong Liang, Hong-Yan Lai, Huan Yang, Chang-Jian Zhang, Hui Yang, Huan-Huan Wei, Xin-Xin Chen, Ya-Wei Zhao, Zhen-Dong Su, Wen-Chao Li, En-Ze Deng, Hua Tang, Wei Chen, Hao Lin:
Pro54DB: a database for experimentally verified sigma-54 promoters. Bioinform. 33(3): 467-469 (2017) - [j17]Wei Chen, Hui Yang, Peng-Mian Feng, Hui Ding, Hao Lin:
iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. Bioinform. 33(22): 3518-3523 (2017) - [j16]Ting Zhang, Puwen Tan, Liqiang Wang, Nana Jin, Yana Li, Lin Zhang, Huan Yang, Zhenyu Hu, Lining Zhang, Chunyu Hu, Chunhua Li, Kun Qian, Changjian Zhang, Yan Huang, Kongning Li, Hao Lin, Dong Wang:
RNALocate: a resource for RNA subcellular localizations. Nucleic Acids Res. 45(Database-Issue): D135-D138 (2017) - 2016
- [j15]Hui Ding, Zhi-Yong Liang, Feng-Biao Guo, Jian Huang, Wei Chen, Hao Lin:
Predicting bacteriophage proteins located in host cell with feature selection technique. Comput. Biol. Medicine 71: 156-161 (2016) - [j14]Bifang He, Guoshi Chai, Yaocong Duan, Zhiqiang Yan, Liuyang Qiu, Huixiong Zhang, Zechun Liu, Qiang He, Ke Han, Beibei Ru, Feng-Biao Guo, Hui Ding, Hao Lin, Xianlong Wang, Nini Rao, Peng Zhou, Jian Huang:
BDB: biopanning data bank. Nucleic Acids Res. 44(Database-Issue): 1127-1132 (2016) - 2015
- [j13]Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo-Chen Chou:
PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinform. 31(1): 119-120 (2015) - 2014
- [j12]Shou-Hui Guo, En-Ze Deng, Liqin Xu, Hui Ding, Hao Lin, Wei Chen, Kuo-Chen Chou:
iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinform. 30(11): 1522-1529 (2014) - [j11]Ziqiang Li, Mingtian Zhou, Lijia Xu, Hao Lin, Haibo Pu:
Training sparse SVM on the core sets of fitting-planes. Neurocomputing 130: 20-27 (2014) - [j10]Beibei Ru, Peter A. C. 't Hoen, Fulei Nie, Hao Lin, Feng-Biao Guo, Jian Huang:
Phd7faster: Predicting Clones Propagating Faster from the pH.D.-7 phage Display peptide Library. J. Bioinform. Comput. Biol. 12(1) (2014) - [j9]Ziqiang Li, Mingtian Zhou, Hao Lin, Haibo Pu:
A two stages sparse SVM training. Int. J. Mach. Learn. Cybern. 5(3): 425-434 (2014) - 2013
- [j8]Peng-Mian Feng, Hui Ding, Wei Chen, Hao Lin:
Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins. Comput. Math. Methods Medicine 2013: 530696:1-530696:6 (2013) - [j7]Peng-Mian Feng, Hao Lin, Wei Chen:
Identification of Antioxidants from Sequence Information Using Naïve Bayes. Comput. Math. Methods Medicine 2013: 567529:1-567529:5 (2013) - [j6]Hui Ding, Hao Lin, Juan Feng:
The rate of opening and closing of the DNA gate for topoisomerase II. Theory Biosci. 132(1): 61-64 (2013) - 2012
- [j5]Wei Chen, Hao Lin:
Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine. Comput. Biol. Medicine 42(4): 504-507 (2012) - [j4]Jian Huang, Beibei Ru, Ping Zhu, Fulei Nie, Jun Yang, Xuyang Wang, Ping Dai, Hao Lin, Feng-Biao Guo, Nini Rao:
MimoDB 2.0: a mimotope database and beyond. Nucleic Acids Res. 40(Database-Issue): 271-277 (2012) - 2011
- [j3]Hao Lin, Qian-Zhong Li:
Eukaryotic and prokaryotic promoter prediction using hybrid approach. Theory Biosci. 130(2): 91-100 (2011)
2000 – 2009
- 2009
- [j2]Wei Chen, Liaofu Luo, Lirong Zhang, Hao Lin:
Recognition of DNase I hypersensitive sites in multiple cell lines. Int. J. Bioinform. Res. Appl. 5(4): 378-384 (2009) - 2007
- [j1]Hao Lin, Qian-Zhong Li:
Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components. J. Comput. Chem. 28(9): 1463-1466 (2007)
Coauthor Index
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