Hao Lin

发表

Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique.

Hua Tang, Wei Chen, Hao Lin, 2016, Molecular bioSystems.

Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition.

Hao Lin, H. Ding, F. Guo, 2008, Protein and peptide letters.

iRNA-PseU: Identifying RNA pseudouridine sites

Wei Chen, K. Chou, Hua Tang, 2016, Molecular therapy. Nucleic acids.

Prediction of thermophilic proteins using feature selection technique.

Wei Chen, Hao Lin, Wei Chen, 2011, Journal of microbiological methods.

iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

Wei Chen, Kuo-Chen Chou, Hao Lin, 2013, Nucleic acids research.

Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions

Hao Lin, Pengmian Feng, Wei Chen, 2016, Interdisciplinary Sciences: Computational Life Sciences.

Prediction of bacteriophage proteins located in the host cell using hybrid features

Hui Ding, Hao Lin, Wei Chen, 2018, Chemometrics and Intelligent Laboratory Systems.

Using deformation energy to analyze nucleosome positioning in genomes.

Hui Ding, Kuo-Chen Chou, Pengmian Feng, 2016, Genomics.

DNA Physical Parameters Modulate Nucleosome Positioning in the Saccharomyces cerevisiae Genome

Wei Chen, Hao Lin, Pengmian Feng, 2014 .

iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties

Wei Chen, Kuo-Chen Chou, Hao Lin, 2012, PloS one.

iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition

Wei Chen, Kuo-Chen Chou, Hua Tang, 2016, Oncotarget.

iORI-PseKNC: A predictor for identifying origin of replication with pseudo k-tuple nucleotide composition

Wei Chen, Hao Lin, H. Ding, 2015 .

Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.

Wei Chen, Hui Ding, Hao Lin, 2016, Molecular bioSystems.

PHYPred: a tool for identifying bacteriophage enzymes and hydrolases

Wei Chen, Hao Lin, H. Ding, 2016, Virologica Sinica.

Predicting Human Enzyme Family Classes by Using Pseudo Amino Acid Composition

Wei Chen, Hua Tang, Wei Chen, 2016 .

iProEP: A Computational Predictor for Predicting Promoter

Wei Chen, Hao Lin, H. Ding, 2019, Molecular therapy. Nucleic acids.

PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition.

K. Chou, Wei Chen, Hao Lin, 2014, Analytical biochemistry.

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.

K. Chou, Wei Chen, Hao Lin, 2015, Molecular bioSystems.

Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions

Hao Lin, Hua Tang, Pengmian Feng, 2017, Interdisciplinary Sciences: Computational Life Sciences.

Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis.

Wei Chen, Hui Ding, Hao Lin, 2014, Molecular bioSystems.

Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition

Hua Tang, Wei Chen, Hao Lin, 2016, BioMed research international.

Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition

Hua Tang, Wei Chen, Hao Lin, 2016, BioMed research international.

Prediction of CpG island methylation status by integrating DNA physicochemical properties.

Wei Chen, Hao Lin, Pengmian Feng, 2014, Genomics.

The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition.

Hao Lin, 2008, Journal of theoretical biology.

Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition.

Hao Lin, L. Luo, H. Ding, 2009, Protein and peptide letters.

Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition

Hao Lin, H. Ding, Hao Wang, 2009, Acta biotheoretica.

Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition.

Wei Chen, Hao Lin, H. Ding, 2015, Molecular bioSystems.

Identifying the Subfamilies of Voltage-Gated Potassium Channels Using Feature Selection Technique

Wei Chen, Hao Lin, En-Ze Deng, 2014, International journal of molecular sciences.

PREDICTING SUBCHLOROPLAST LOCATIONS OF PROTEINS BASED ON THE GENERAL FORM OF CHOU'S PSEUDO AMINO ACID COMPOSITION: APPROACHED FROM OPTIMAL TRIPEPTIDE COMPOSITION

N. Rao, Wei Chen, Hao Lin, 2013 .

Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions.

Wei Chen, Hao Lin, Chen Ding, 2012, Journal of proteomics.

Prediction of subcellular location of mycobacterial protein using feature selection techniques

Hao Lin, H. Ding, F. Guo, 2010, Molecular Diversity.

Predicting the Types of J-Proteins Using Clustered Amino Acids

Wei Chen, Hao Lin, Yongchun Zuo, 2014, BioMed research international.

iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels

K. Chou, Wei Chen, Hao Lin, 2014, BioMed research international.

Identification of apolipoprotein using feature selection technique

Wei Chen, Hua Tang, Hao Lin, 2016, Scientific Reports.

AOD: the antioxidant protein database

Wei Chen, Hao Lin, H. Ding, 2017, Scientific Reports.

Identifying RNA N6-Methyladenosine Sites in Escherichia coli Genome

Wei Chen, Hao Lin, Pengmian Feng, 2018, Front. Microbiol..

Prediction of replication origins by calculating DNA structural properties

Wei Chen, Hao Lin, Pengmian Feng, 2012, FEBS letters.

iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition

K. Chou, Wei Chen, Hao Lin, 2014, BioMed research international.

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

Wei Chen, K. Chou, Hao Lin, 2014, Nucleic acids research.

iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition.

K. Chou, Wei Chen, Hao Lin, 2015, Analytical biochemistry.

iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

K. Chou, Wei Chen, Hao Lin, 2018, Genomics.

iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition.

K. Chou, Wei Chen, Hao Lin, 2013, Analytical biochemistry.

Combinatorial Pattern of Histone Modifications in Exon Skipping Event

Wei Chen, Hao Lin, Xiaoming Song, 2019, Front. Genet..

Exon skipping event prediction based on histone modifications

Wei Chen, Hao Lin, Jinpeng Wang, 2014, Interdisciplinary Sciences: Computational Life Sciences.

Classifying Included and Excluded Exons in Exon Skipping Event Using Histone Modifications

Wei Chen, Hao Lin, H. Ding, 2018, Front. Genet..

iACP: a sequence-based tool for identifying anticancer peptides

K. Chou, Wei Chen, Hao Lin, 2016, Oncotarget.

Recent Advances in Conotoxin Classification by Using Machine Learning Methods

Wei Chen, Hua Tang, Hao Lin, 2017, Molecules.

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

K. Chou, Wei Chen, Hao Lin, 2017, Molecular therapy. Nucleic acids.

iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites

K. Chou, Wei Chen, Hao Lin, 2018, Molecular therapy. Nucleic acids.

Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method

Hao Lin, Fu-Ying Dao, Hao Lv, 2020, Frontiers in Cell and Developmental Biology.

Sequence-based predictive modeling to identify cancerlectins

Wei Chen, Hua Tang, Hong-Yan Lai, 2017, Oncotarget.

Prediction of ketoacyl synthase family using reduced amino acid alphabets

Hao Lin, Pengmian Feng, Wei Chen, 2012, Journal of Industrial Microbiology & Biotechnology.

DNA physical properties outperform sequence compositional information in classifying nucleosome-enriched and -depleted regions.

Hao Lin, Guoqing Liu, Guojun Liu, 2019, Genomics.

iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences

Wei Chen, Hui Ding, Kuo-Chen Chou, 2016, Oncotarget.

Prediction of midbody, centrosome and kinetochore proteins based on gene ontology information.

Wei Chen, Hao Lin, Wei Chen, 2010, Biochemical and biophysical research communications.

Using Over-Represented Tetrapeptides to Predict Protein Submitochondria Locations

Wei Chen, Hui Ding, Hao Lin, 2013, Acta Biotheoretica.

Identifying N6-methyladenosine sites in the Arabidopsis thaliana transcriptome

Wei Chen, Hao Lin, H. Ding, 2016, Molecular Genetics and Genomics.

Recent Advances in Identification of RNA Modifications

Wei Chen, Hao Lin, Wei Chen, 2016, Non-coding RNA.

Benchmark data for identifying N6-methyladenosine sites in the Saccharomyces cerevisiae genome

K. Chou, Wei Chen, Hao Lin, 2015, Data in brief.

AcalPred: A Sequence-Based Tool for Discriminating between Acidic and Alkaline Enzymes

Hui Ding, Hao Lin, Wei Chen, 2013, PloS one.

Recombination spots prediction using DNA physical properties in the saccharomyces cerevisiae genome

Hao Lin, Wei Chen, Guo-Qing Liu, 2012 .

The prediction of protein structural class using averaged chemical shifts

Hui Ding, Hao Lin, Wei Chen, 2012, Journal of biomolecular structure & dynamics.

Deform-nu: A DNA Deformation Energy-Based Predictor for Nucleosome Positioning

Hao Lin, Yong-qiang Xing, Guoqing Liu, 2020, Frontiers in Cell and Developmental Biology.

A computational framework for identifying the transcription factors involved in enhancer-promoter loop formation

Hao Lin, Li Liu, Fu-Ying Dao, 2020, Molecular therapy. Nucleic acids.

A computational platform to identify origins of replication sites in eukaryotes

Fu-Ying Dao, Hui Ding, Hao Lv, 2020, Briefings Bioinform..

PSBinder: A Web Service for Predicting Polystyrene Surface-Binding Peptides

Ning Li, Hao Lin, Bifang He, 2017, BioMed research international.

iRNAD: a computational tool for identifying D modification sites in RNA sequence

Wei Chen, Hao Lin, Wang-Ren Qiu, 2019, Bioinform..

Identification of Key Histone Modifications and Their Regulatory Regions on Gene Expression Level Changes in Chronic Myelogenous Leukemia

Hao Lin, Qian-zhong Li, Jun-Jie Liu, 2021, Frontiers in Cell and Developmental Biology.

PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization

Yang Zhang, Hao Lin, Yang Zhang, 2022, Briefings Bioinform..

Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information

Hao Lin, Hui Yang, Meng-Lu Liu, 2020, Molecular therapy. Nucleic acids.

A Brief Survey of Machine Learning Methods in Protein Sub-Golgi Localization

Jian Huang, Hui Ding, Hao Lin, 2019, Current Bioinformatics.

A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins

Hao Lin, Lixia Tang, Hasan Zulfiqar, 2022, International journal of molecular sciences.

High‐quality ice plant reference genome analysis provides insights into genome evolution and allows exploration of genes involved in the transition from C3 to CAM pathways

Hao Lin, Xiaoming Song, Tong Yu, 2022, Plant biotechnology journal.

DeepIDC: A Prediction Framework of Injectable Drug Combination Based on Heterogeneous Information and Deep Learning.

Hao Lin, Yu-He Yang, Dan Yan, 2022, Clinical pharmacokinetics.

Analysis of connection networks among miRNAs differentially expressed in early gastric cancer for disclosing some biological features of disease development.

Hui Ding, Yi Li, Hao Lin, 2014, Gene.

Prediction of Protein Secondary Structure Using Feature Selection and Analysis Approach

Hao Lin, L. Luo, Yonge Feng, 2013, Acta Biotheoretica.

Exon skipping event prediction based on histone modifications

Wei Chen, Hao Lin, Jinpeng Wang, 2014, Interdisciplinary Sciences: Computational Life Sciences.

DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism

Dong Xu, Hao Lin, Dong Wang, 2021, Nucleic acids research.

Comparative analysis of long noncoding RNAs in angiosperms and characterization of long noncoding RNAs in response to heat stress in Chinese cabbage

Hao Lin, Ying Yu, Xiaoming Song, 2021, Horticulture Research.

Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method

Jiu-Xin Tan, Fu-Ying Dao, Fang Wang, 2020, Frontiers in Bioengineering and Biotechnology.

Identification of hormone binding proteins based on machine learning methods.

Jiu-Xin Tan, Wei Chen, Hua Tang, 2019, Mathematical biosciences and engineering : MBE.

Recent Advance in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods.

Jian Huang, Hao Lin, Wuritu Yang, 2019, Medicinal chemistry (Shariqah (United Arab Emirates)).

Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions.

Swakkhar Shatabda, Hao Lin, Ahsan Ahmad, 2020, Genomics.

iLoc‐lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC

Dong Wang, Wei Chen, Yan Huang, 2018, Bioinform..

Towards a better prediction of subcellular location of long non-coding RNA

Hao Lin, Zhao-Yue Zhang, Yu-He Yang, 2022, Frontiers of Computer Science.

Towards a better prediction of subcellular location of long non-coding RNA

Zhao-Yue Zhang, Zi-Jie Sun, Yu-He Yang, 2022, Frontiers of Computer Science.

Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique

Hao Lin, Fu-Ying Dao, Hao Lv, 2022, International journal of molecular sciences.

Computational identification of N6-methyladenosine sites in multiple tissues of mammals

Fu-Ying Dao, Hui Gao, Hao Lin, 2020, Computational and structural biotechnology journal.

iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes

Wei Chen, Hao Lin, H. Ding, 2020, iScience.

DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species

Wei Chen, Qiang Tang, Juanjuan Kang, 2020, Bioinform..

iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice

Hao Lin, Dan Zhang, Fu-Ying Dao, 2019, Front. Genet..

Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)

Hao Lin, Hui Yang, Fu-Ying Dao, 2021, Biotechnology and bioengineering.

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network

Fu-Ying Dao, Hao Lv, Qin-Lai Huang, 2021, Briefings Bioinform..

iDNA4mC: identifying DNA N4‐methylcytosine sites based on nucleotide chemical properties

Wei Chen, Hui Ding, Hui Yang, 2017, Bioinform..

Special issue on Computational Resources and Methods in Biological Sciences

Shaoliang Peng, Hao Lin, Jian Huang, 2018, International journal of biological sciences.

MimoDB 2.0: a mimotope database and beyond

Ping Zhu, Jun Yang, Feng-Biao Guo, 2011, Nucleic Acids Res..

PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions

Wei Chen, Liqing Zhang, Kuo-Chen Chou, 2015, Bioinform..

iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition.

Wei Chen, Kuo-Chen Chou, Hao Lin, 2014, Analytical biochemistry.

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

Wei Chen, Hui Ding, Kuo-Chen Chou, 2014, Bioinform..

Prediction of the types of ion channel-targeted conotoxins based on radial basis function network.

Hui Ding, Hao Lin, Wei Chen, 2013, Toxicology in vitro : an international journal published in association with BIBRA.

Prevention and Control of Pathogens Based on Big-Data Mining and Visualization Analysis

Hao Lin, Zongfu Cao, Ruikun Cai, 2021, Frontiers in Molecular Biosciences.

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens

Wei Chen, Hui Ding, Hao Lin, 2020, Briefings Bioinform..

HBPred: a tool to identify growth hormone-binding proteins

Rong Chen, Hua Tang, Hao Lin, 2018, International journal of biological sciences.

Identify and analysis crotonylation sites in histone by using support vector machines

Hua Tang, Jian Huang, Hao Lin, 2017, Artif. Intell. Medicine.

DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach

Hao Lin, Fu-Ying Dao, Hao Lv, 2021, Briefings in bioinformatics.

Evaluation of different computational methods on 5-methylcytosine sites identification

Jiu-Xin Tan, Hao Lv, Hao Lin, 2020, Briefings Bioinform..

iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC

Kuo-Chen Chou, Wei Chen, Hao Lin, 2018, International journal of biological sciences.

MimoDB: a New Repository for Mimotope Data Derived from Phage Display Technology

Feng-Biao Guo, Ping Dai, Hao Lin, 2010, Molecules.

Sequence analysis of origins of replication in the Saccharomyces cerevisiae genomes

Hui Ding, Hao Lin, Wei Chen, 2014, Front. Microbiol..

iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens

Wei Chen, Hao Lv, Hui Ding, 2018, J. Comput. Biol..

Identifying 2'-O-methylationation sites by integrating nucleotide chemical properties and nucleotide compositions.

Wei Chen, Hui Ding, Hua Tang, 2016, Genomics.

A plot of G + C content against sequence length of 640 bacterial chromosomes shows the points are widely scattered in the upper triangular area

Hao Lin, F. Guo, Jian Huang, 2009, Chromosome Research.

Recognition of DNase I hypersensitive sites in multiple cell lines

Wei Chen, Liaofu Luo, Hao Lin, 2009, Int. J. Bioinform. Res. Appl..

The Brassicaceae Genome Resource (TBGR): a comprehensive genome platform for Brassicaceae plants.

Hao Lin, Xiaoming Song, Tong Yu, 2022, Plant physiology.

DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops

Hao Lv, Fu-Ying Dao, Dan Zhang, 2020, Briefings Bioinform..

Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method

Hao Lv, Fu-Ying Dao, Hui Yang, 2020, Briefings Bioinform..

A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae

Fu-Ying Dao, Hao Lv, Wei Chen, 2019, Briefings Bioinform..

i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome

Wei Chen, Hao Lv, Hao Lin, 2019, Bioinform..

Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique

Hao Lv, Fu-Ying Dao, Hui Ding, 2018, Bioinform..

iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators

Yan Lin, Wei Chen, Hua Tang, 2018, Bioinform..

PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters.

Hao Lin, Hui Yang, Meng-Lu Liu, 2021, Journal of molecular biology.

iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition.

Hui Ding, Kuo-Chen Chou, Hao Lin, 2018, Analytical biochemistry.

Chromosome translocation and its consequence in the genome of Burkholderia cenocepacia AU-1054.

Hao Lin, F. Guo, Jian Huang, 2010, Biochemical and biophysical research communications.

Application of Machine Learning Method in Genomics and Proteomics

Dariusz Plewczynski, Wei Chen, Hao Lin, 2015, TheScientificWorldJournal.

Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition.

Hui Ding, Hao Lin, Hao Lin, 2011, Journal of theoretical biology.

Identify Golgi protein types with modified Mahalanobis discriminant algorithm and pseudo amino acid composition.

Hui Ding, Li Liu, Feng-Biao Guo, 2011, Protein and peptide letters.

Predicting cancerlectins by the optimal g-gap dipeptides

Wei Chen, Hui Ding, Hao Lin, 2015, Scientific Reports.

Prediction of phosphothreonine sites in human proteins by fusing different features

Wei Chen, Hua Tang, Hong-Yan Lai, 2016, Scientific Reports.

IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types

Hua Tang, Wuritu Yang, Wei Chen, 2017, International journal of molecular sciences.

AOD: the antioxidant protein database

Wei Chen, Hao Lin, H. Ding, 2017, Scientific Reports.

Identification of Antioxidants from Sequence Information Using Naïve Bayes

Wei Chen, Hao Lin, Peng-Mian Feng, 2013, Comput. Math. Methods Medicine.

Naïve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins

Wei Chen, Hui Ding, Hao Lin, 2013, Comput. Math. Methods Medicine.

Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions

Wei Chen, Hao Lin, Pengmian Feng, 2015, Interdisciplinary Sciences: Computational Life Sciences.

Briefing in Application of Machine Learning Methods in Ion Channel Prediction

Wei Chen, Hao Lin, Wei Chen, 2015, TheScientificWorldJournal.

Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators

Hui Yang, Hao Lin, Yamei Luo, 2021, Inf. Fusion.

Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large‐scale Chinese patients

Hao Lin, Hui Yang, Li-wei Liu, 2021, Clinical and translational medicine.

MethyRNA: a web server for identification of N6-methyladenosine sites

Wei Chen, Hua Tang, Hao Lin, 2017, Journal of biomolecular structure & dynamics.

Identifying Sigma70 Promoters with Novel Pseudo Nucleotide Composition

Hao Lin, Hua Tang, Wei Chen, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Recent Development of Computational Predicting Bioluminescent Proteins.

Fu-Ying Dao, Hua Tang, Hao Lin, 2019, Current pharmaceutical design.

Sequence analysis iDNA 4 mC : identifying DNA N 4-methylcytosine sites based on nucleotide chemical properties

Hao Lin, Hui Ding, Pengmian Feng, 2017 .

Maternal energy insufficiency affects testicular development of the offspring in a swine model

Hao Lin, Z. Fang, Yan Lin, 2019, Scientific Reports.

Prediction of cell-penetrating peptides with feature selection techniques.

Wei Chen, Hua Tang, Hao Lin, 2016, Biochemical and biophysical research communications.

XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites

Wei Chen, Hao Lin, Kewei Liu, 2019, Zeitschrift für Induktive Abstammungs- und Vererbungslehre.

MDC-Analyzer-facilitated combinatorial strategy for improving the activity and stability of halohydrin dehalogenase from Agrobacterium radiobacter AD1.

Hao Lin, Zujun Yang, Lixia Tang, 2015, Journal of biotechnology.

iRNA-m7G: Identifying N7-methylguanosine Sites by Fusing Multiple Features

Hao Lv, Wei Chen, Hao Lin, 2019, Molecular therapy. Nucleic acids.

RAMPred: identifying the N1-methyladenosine sites in eukaryotic transcriptomes

Wei Chen, Hui Ding, Hua Tang, 2016, Scientific Reports.

Predicting bacteriophage proteins located in host cell with feature selection technique

Wei Chen, Hui Ding, Feng-Biao Guo, 2016, Comput. Biol. Medicine.

Prediction of Golgi-resident protein types by using feature selection technique

Jian Huang, Hui Ding, Feng-Biao Guo, 2013 .

The Computational Methods in Drug Targets Discovery.

Hao Lin, 2019, Current drug targets.

Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine

Wei Chen, Hao Lin, Wei Chen, 2012, Comput. Biol. Medicine.

SAROTUP: Scanner and Reporter of Target-Unrelated Peptides

Feng-Biao Guo, Hao Lin, Jian Huang, 2010, Journal of biomedicine & biotechnology.

Identifying N6-methyladenosine sites in the Arabidopsis thaliana transcriptome

Wei Chen, Hao Lin, H. Ding, 2016, Molecular Genetics and Genomics.

Screening of Prospective Plant Compounds as H1R and CL1R Inhibitors and Its Antiallergic Efficacy through Molecular Docking Approach

Hao Lin, Hasan Zulfiqar, Muhammad Shareef Masoud, 2021, Comput. Math. Methods Medicine.

BDB: biopanning data bank

Hui Ding, Peng Zhou, Feng-Biao Guo, 2015, Nucleic Acids Res..

iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features

Hui Yang, Hao Lv, Wei Su, 2020, Bioinform..

iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA.

Hao Lin, Hui Yang, Wei Su, 2022, International journal of biological macromolecules.

Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome

Wei Chen, Hao Lin, Hong Tran, 2015, Scientific Reports.

A deep learning model to identify gene expression level using cobinding transcription factor signals

Hao Lin, Li Liu, Lirong Zhang, 2021, Briefings Bioinform..

BDselect: a package for k-mer selection based on the binomial distribution

Hao Lin, Zhao-Yue Zhang, Fu-Ying Dao, 2021, Current Bioinformatics.

A comprehensive review of bioinformatics tools for chromatin loop calling

Hao Lin, Li Liu, Lirong Zhang, 2023, Briefings Bioinform..

Computational Identification of Small Interfering RNA Targets in SARS-CoV-2

Wei Chen, Hao Lin, Pengmian Feng, 2020, Virologica Sinica.

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism

Hao Lin, Xiucai Ye, Zhao-Yue Zhang, 2022, Briefings Bioinform..

A sequence-based deep learning approach to predict CTCF-mediated chromatin loop.

Hao Lin, H. Ding, Wei Su, 2021, Briefings in bioinformatics.

The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review.

Hua Tang, Hao Lin, Huan-Huan Wei, 2019, Current drug metabolism.

Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree

Zhen Liu, Hui Gao, Hao Lin, 2018, International journal of molecular sciences.

Prediction of protein structural classes based on feature selection technique

Hui Ding, Feng-Biao Guo, Hao Lin, 2014, Interdisciplinary Sciences: Computational Life Sciences.

Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli.

Hao Lin, Fu-Ying Dao, Hao Lv, 2021, Methods.

Identification of Potential Inhibitors against SARS-Cov-2 using Computational Drug Repurposing Study

Wei Chen, Hao Lin, P. Zhou, 2021, Current Bioinformatics.

RIscoper: a tool for RNA-RNA interaction extraction from the literature

Dong Wang, Hao Xu, Yang Zhang, 2019, Bioinform..

iRNA-m2G: Identifying N2-methylguanosine Sites Based on Sequence-Derived Information

Hao Lv, Wei Chen, Hao Lin, 2019, Molecular therapy. Nucleic acids.

EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooks

Hao Lin, Wangren Qiu, Zhe Lv, 2021, Computational and structural biotechnology journal.

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

Wei Chen, K. Chou, Hao Lin, 2014, Bioinform..

Using Over-Represented Tetrapeptides to Predict Protein Submitochondria Locations

Wei Chen, Hao Lin, H. Ding, 2013, Acta Biotheoretica.

iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition.

K. Chou, Wei Chen, Hao Lin, 2015, Analytical biochemistry.

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.

K. Chou, Wei Chen, Hao Lin, 2015, Molecular bioSystems.

Pro54DB: a database for experimentally verified sigma‐54 promoters

Wei Chen, Hua Tang, Hui Yang, 2016, Bioinform..

PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions

Wei Chen, Hui Ding, Hao Lin, 2016, Scientific Reports.

Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots.

Abraham A. Labena, Wei Chen, Hao Lin, 2016, Molecular bioSystems.

Computational Identification of Small Interfering RNA Targets in SARS-CoV-2

Wei Chen, Hao Lin, Pengmian Feng, 2020, Virologica Sinica.

Analysis of connection networks among miRNAs differentially expressed in early gastric cancer for disclosing some biological features of disease development.

N. Rao, Hao Lin, Tao Gan, 2014, Gene.

iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition.

K. Chou, Wei Chen, Hao Lin, 2013, Analytical biochemistry.

VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences

Wei Zhao, Hao Lin, Wei Chen, 2019, Bioinform..

XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites

Hao Lin, Wei Chen, Kewei Liu, 2019, Molecular Genetics and Genomics.

Information Loss and Noise Inclusion Risk in Mimotope Based Epitope Mapping

Hao Lin, Jian Huang, Hao Lin, 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.