Using pseudo amino acid composition to predict protein structural class: Approached by incorporating 400 dipeptide components. - Hao Lin 001; Qian-Zhong Li (J. Comput. Chem., 2007)

Recognition of DNase I hypersensitive sites in multiple cell lines. - Wei Chen 064; Liaofu Luo; Lirong Zhang; Hao Lin 001 (Int. J. Bioinform. Res. Appl., 2009)

Eukaryotic and prokaryotic promoter prediction using hybrid approach. - Hao Lin 001; Qian-Zhong Li (Theory Biosci., 2011)

Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine. - Wei Chen 064; Hao Lin 001 (Comput. Biol. Medicine, 2012)

MimoDB 2.0: a mimotope database and beyond. - Jian Huang 004; Beibei Ru; Ping Zhu 002; Fulei Nie; Jun Yang; Xuyang Wang; Ping Dai; Hao Lin 001; Feng-Biao Guo; Nini Rao (Nucleic Acids Res., 2012)

Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins. - Peng-Mian Feng; Hui Ding 005; Wei Chen 064; Hao Lin 001 (Comput. Math. Methods Medicine, 2013)

Identification of Antioxidants from Sequence Information Using Naïve Bayes. - Peng-Mian Feng; Hao Lin 001; Wei Chen 064 (Comput. Math. Methods Medicine, 2013)

The rate of opening and closing of the DNA gate for topoisomerase II. - Hui Ding 005; Hao Lin 001; Juan Feng (Theory Biosci., 2013)

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. - Shou-Hui Guo; En-Ze Deng; Liqin Xu; Hui Ding 005; Hao Lin 001; Wei Chen 064; Kuo-Chen Chou (Bioinform., 2014)

Training sparse SVM on the core sets of fitting-planes. - Ziqiang Li; Mingtian Zhou; Lijia Xu; Hao Lin 001; Haibo Pu (Neurocomputing, 2014)

Phd7faster: Predicting Clones Propagating Faster from the pH.D.-7 phage Display peptide Library. - Beibei Ru; Peter A. C. 't Hoen; Fulei Nie; Hao Lin 001; Feng-Biao Guo; Jian Huang 004 (J. Bioinform. Comput. Biol., 2014)

A two stages sparse SVM training. - Ziqiang Li; Mingtian Zhou; Hao Lin 001; Haibo Pu (Int. J. Mach. Learn. Cybern., 2014)

PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. - Wei Chen 064; Xitong Zhang; Jordan Brooker; Hao Lin 001; Liqing Zhang 002; Kuo-Chen Chou (Bioinform., 2015)

Predicting bacteriophage proteins located in host cell with feature selection technique. - Hui Ding 005; Zhi-Yong Liang; Feng-Biao Guo; Jian Huang 004; Wei Chen 064; Hao Lin 001 (Comput. Biol. Medicine, 2016)

BDB: biopanning data bank. - 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 005; et al. (Nucleic Acids Res., 2016)

Identify and analysis crotonylation sites in histone by using support vector machines. - Wangren Qiu; Bi-Qian Sun; Hua Tang; Jian Huang 004; Hao Lin 001 (Artif. Intell. Medicine, 2017)

iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. - Wei Chen 064; Hui Yang; Peng-Mian Feng; Hui Ding 005; Hao Lin 001 (Bioinform., 2017)

Pro54DB: a database for experimentally verified sigma-54 promoters. - 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 001; Wen-Chao Li; En-Ze Deng; Hua Tang; et al. (Bioinform., 2017)

RNALocate: a resource for RNA subcellular localizations. - Ting Zhang; Puwen Tan; Liqiang Wang; Nana Jin; Yana Li; Lin Zhang; Huan Yang; Zhenyu Hu; Lining Zhang; Chunyu Hu; Chunhua Li 004; Kun Qian; et al. (Nucleic Acids Res., 2017)

iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. - Zhen-Dong Su 001; Yan Huang; Zhao-Yue Zhang; Ya-Wei Zhao; Dong Wang 011; Wei Chen 064; Kuo-Chen Chou; Hao Lin 001 (Bioinform., 2018)

iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens. - Hui Yang; Hao Lv; Hui Ding 005; Wei Chen 064; Hao Lin 001 (J. Comput. Biol., 2018)

i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome. - Wei Chen 064; Hao Lv; Fulei Nie; Hao Lin 001 (Bioinform., 2019)

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique. - Fu-Ying Dao; Hao Lv; Fang Wang; Chao-Qin Feng; Hui Ding 005; Wei Chen 064; Hao Lin 001 (Bioinform., 2019)

iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. - Chao-Qin Feng; Zhao-Yue Zhang; Xiao-Juan Zhu; Yan Lin; Wei Chen 064; Hua Tang; Hao Lin 001 (Bioinform., 2019)

iRNAD: a computational tool for identifying D modification sites in RNA sequence. - Zhao-Chun Xu; Peng-Mian Feng; Hui Yang; Wangren Qiu; Wei Chen 064; Hao Lin 001 (Bioinform., 2019)

RIscoper: a tool for RNA-RNA interaction extraction from the literature. - Yang Zhang 125; Tianyuan Liu; Liqun Chen; Jinxurong Yang; Jiayi Yin; Yuncong Zhang; Zhixi Yun; Hao Xu; Lin Ning 002; Feng-Biao Guo; Yongshuai Jiang; Hao Lin 001; et al. (Bioinform., 2019)

Predicting protein structural classes for low-similarity sequences by evaluating different features. - Xiao-Juan Zhu; Chao-Qin Feng; Hong-Yan Lai; Wei Chen 064; Hao Lin 001 (Knowl. Based Syst., 2019)

Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition. - Hao Lin 001; Zhi-Yong Liang; Hua Tang; Wei Chen 064 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Evaluation of different computational methods on 5-methylcytosine sites identification. - Hao Lv; Zi-Mei Zhang; Shi-Hao Li; Jiu-Xin Tan; Wei Chen 064; Hao Lin 001 (Briefings Bioinform., 2020)

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. - Hui Yang; Wuritu Yang; Fu-Ying Dao; Hao Lv; Hui Ding 005; Wei Chen 064; Hao Lin 001 (Briefings Bioinform., 2020)

DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species. - Qiang Tang 013; Juanjuan Kang; Jiaqing Yuan; Hua Tang; Xianhai Li; Hao Lin 001; Jian Huang 004; Wei Chen 064 (Bioinform., 2020)

VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences. - Jun Wang 081; Pu-Feng Du; Xin-Yu Xue; Guang-Ping Li 005; Yuan-Ke Zhou; Wei Zhao; Hao Lin 001; Wei Chen 064 (Bioinform., 2020)

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network. - Fu-Ying Dao; Hao Lv; Wei Su; Zi-Jie Sun; Qin-Lai Huang; Hao Lin 001 (Briefings Bioinform., 2021)

A computational platform to identify origins of replication sites in eukaryotes. - Fu-Ying Dao; Hao Lv; Hasan Zulfiqar; Hui Yang; Wei Su; Hui Gao; Hui Ding 005; Hao Lin 001 (Briefings Bioinform., 2021)

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops. - Fu-Ying Dao; Hao Lv; Dan Zhang 006; Zi-Mei Zhang; Li Liu; Hao Lin 001 (Briefings Bioinform., 2021)

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method. - Hao Lv; Fu-Ying Dao; Zheng-Xing Guan; Hui Yang; Yan-Wen Li; Hao Lin 001 (Briefings Bioinform., 2021)

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. - Zhao-Yue Zhang; Yu-He Yang; Hui Ding 005; Dong Wang 011; Wei Chen 064; Hao Lin 001 (Briefings Bioinform., 2021)

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features. - Dan Zhang 006; Zhao-Chun Xu; Wei Su; Yu-He Yang; Hao Lv; Hui Yang; Hao Lin 001 (Bioinform., 2021)

Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators. - Hui Yang; Yamei Luo; Xiaolei Ren 003; Ming Wu; Xiaolin He; Bowen Peng; Kejun Deng; Dan Yan; Hua Tang; Hao Lin 001 (Inf. Fusion, 2021)

Detection of transcription factors binding to methylated DNA by deep recurrent neural network. - Hongfei Li; Yue Gong; Yifeng Liu; Hao Lin 001; Guohua Wang (Briefings Bioinform., 2022)

iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice. - Hao Lv; Yang Zhang 125; Jia-Shu Wang; Shi-Shi Yuan; Zi-Jie Sun; Fu-Ying Dao; Zheng-Xing Guan; Hao Lin 001; Ke-Jun Deng (Briefings Bioinform., 2022)

PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization. - Zijie Sun; Qinlai Huang; Yuhe Yang; Shihao Li; Hao Lv; Yang Zhang 125; Hao Lin 001; Lin Ning 002 (Briefings Bioinform., 2022)

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. - Zhao-Yue Zhang; Lin Ning 002; Xiucai Ye; Yu-He Yang; Yasunori Futamura; Tetsuya Sakurai; Hao Lin 001 (Briefings Bioinform., 2022)

A deep learning model to identify gene expression level using cobinding transcription factor signals. - Lirong Zhang; Yanchao Yang; Lu Chai; Qianzhong Li; Junjie Liu; Hao Lin 001; Li Liu (Briefings Bioinform., 2022)

Analysis and modeling of myopia-related factors based on questionnaire survey. - Jianqiang Xiao; Mujiexin Liu; Qinlai Huang; Zijie Sun; Lin Ning 002; Junguo Duan; Siquan Zhu; Jian Huang 004; Hao Lin 001; Hui Yang (Comput. Biol. Medicine, 2022)

Towards a better prediction of subcellular location of long non-coding RNA. - Zhao-Yue Zhang; Zi-Jie Sun; Yu-He Yang; Hao Lin 001 (Frontiers Comput. Sci., 2022)

RNALocate v2.0: an updated resource for RNA subcellular localization with increased coverage and annotation. - Tianyu Cui; Yiying Dou; Puwen Tan; Zhen Ni; Tianyuan Liu; Duolin Wang; Yan Huang; Kaican Cai; Xiaoyang Zhao; Dong Xu 002; Hao Lin 001; Dong Wang 011 (Nucleic Acids Res., 2022)

A gender specific risk assessment of coronary heart disease based on physical examination data. - Hui Yang; Yamei Luo; Cai-Yi Ma; Tian-Yu Zhang; Tao Zhou; Xiaolei Ren 003; Xiaolin He; Kejun Deng; Dan Yan; Hua Tang; Hao Lin 001 (npj Digit. Medicine, 2023)

A comprehensive review of bioinformatics tools for chromatin loop calling. - Li Liu; Kaiyuan Han; Huimin Sun; Lu Han; Dong Gao 002; Qilemuge Xi; Lirong Zhang; Hao Lin 001 (Briefings Bioinform., 2023)

iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms. - Xiao-Wei Liu; Tian-Yu Shi; Dong Gao 002; Cai-Yi Ma; Hao Lin 001; Dan Yan; Ke-Jun Deng (J. Chem. Inf. Model., 2023)

Identification of Key DNA methylation sites related to differentially expressed genes in Lung squamous cell carcinoma. - Jie Gao; Yongxian Feng; Yan Yang; Yuetong Shi; Junjie Liu; Hao Lin 001; Lirong Zhang (Comput. Biol. Medicine, 2023)

Muli-Task Dual-view Model for Drug Combination Analysis: In Vivo and In Vitro Perspectives. - Yuhe Yang; Zhao-Yue Zhang; Xue-Qin Xie; Wei Su; Kejun Deng; Hao Lin 001 (BIBM, 2024)

Attention is all you need: utilizing attention in AI-enabled drug discovery. - Yang Zhang 125; Caiqi Liu; Mujiexin Liu; Tianyuan Liu; Hao Lin 001; Cheng-Bing Huang; Lin Ning 002 (Briefings Bioinform., 2024)

Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of type 2 diabetes mellitus. - Xue-Qin Xie; Changchun Wu; Cai-Yi Ma; Dong Gao 002; Wei Sun; Jian Huang 004; Kejun Deng; Dan Yan; Hao Lin 001 (Expert Syst. Appl., 2024)

Predicting coronary heart disease in Chinese diabetics using machine learning. - Cai-Yi Ma; Yamei Luo; Tian-Yu Zhang; Yu-Duo Hao; Xue-Qin Xie; Xiao-Wei Liu; Xiaolei Ren 003; Xiaolin He; Yu-Mei Han; Ke-Jun Deng; Dan Yan; Hui Yang; et al. (Comput. Biol. Medicine, 2024)

E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization. - Bakanina Kissanga Grace-Mercure; Hasan Zulfiqar; Shenghan Gao; Sophyani Banaamwini Yussif; Biffon Manyura Momanyi; Lin Ning 002; Hao Lin 001; Cheng-Bing Huang (Inf., 2024)