Hui Ding

发表

A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods.

Jiu-Xin Tan, Hao Lv, Fang Wang, 2019, Current drug targets.

Prediction of protein structural classes based on feature selection technique

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

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

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

Applications of machine learning methods in predicting nuclear receptors and their families.

Hui Ding, Zi-Mei Zhang, Zheng-Xing Guan, 2020, Medicinal chemistry (Shariqah (United Arab Emirates)).

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

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

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

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

iACP: a sequence-based tool for identifying anticancer peptides

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

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

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

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.

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..

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

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

Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design

Yang Zhang, H. Ding, Renzhi Cao, 2021, Briefings in bioinformatics.

Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology

Hui Ding, Lei Xu, Zhibin Lv, 2020, IEEE Access.

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

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

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

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

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.

Is There Any Sequence Feature in the RNA Pseudouridine Modification Prediction Problem?

Hui Ding, Lei Xu, Huaikun Xiang, 2019, Molecular therapy. Nucleic acids.

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

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

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.

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.

Identification of mitochondrial proteins of malaria parasite using analysis of variance

H. Ding, Dongmei Li, Hui Ding, 2014, Amino Acids.

Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition

H. Ding, Shuyi Deng, Zhaoyue Zhang, 2023, Frontiers in Genetics.

IBPred: A sequence-based predictor for identifying ion binding protein in phage

H. Ding, Wei Su, Zhao-Yue Zhang, 2022, Computational and structural biotechnology journal.

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

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

iRNA-m5C_NB: A Novel Predictor to Identify RNA 5-Methylcytosine Sites Based on the Naive Bayes Classifier

Hui Ding, Lei Xu, Huaikun Xiang, 2020, IEEE Access.

Prediction of m5C Modifications in RNA Sequences by Combining Multiple Sequence Features

H. Ding, Lei Xu, Lijun Dou, 2020, Molecular therapy. Nucleic acids.

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

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

Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.

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

RAMPred: identifying the N1-methyladenosine sites in eukaryotic transcriptomes

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

i2OM: Toward a better prediction of 2'-O-methylation in human RNA.

H. Ding, Yu-He Yang, Shi-Shi Yuan, 2023, International journal of biological macromolecules.

Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features.

H. Ding, Hui Yang, Yu-He Yang, 2020, Genomics.

CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations

H. Ding, Hui Gao, Hasan Zulfiqar, 2023, Comput. Biol. Medicine.

Bitter-RF: A random forest machine model for recognizing bitter peptides

Yang Zhang, H. Ding, Zhimei Gu, 2023, Frontiers in Medicine.

Recognition of outer membrane proteins using multiple feature fusion

H. Ding, Xiaojun Qian, Zhaoyue Zhang, 2023, Frontiers in Genetics.

Identification of D Modification Sites by Integrating Heterogeneous Features in Saccharomyces cerevisiae

Hui Ding, Li Liu, Hui Yang, 2019, Molecules.

Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method.

Hui Ding, Renzhi Cao, Kyle Hippe, 2021, Mathematical biosciences and engineering : MBE.

SABinder: A Web Service for Predicting Streptavidin-Binding Peptides

Peng Zhou, Hui Ding, Bifang He, 2016, BioMed research international.

Recent Advances on the Machine Learning Methods in Identifying DNA Replication Origins in Eukaryotic Genomics

Fu-Ying Dao, Hui Ding, Hao Lv, 2018, Front. Genet..

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

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

Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition

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

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.

A Brief Survey for MicroRNA Precursor Identification Using Machine Learning Methods

Dan Zhang, Hui Ding, Hui Yang, 2020, Current genomics.

Predicting cancerlectins by the optimal g-gap dipeptides

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

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

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

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

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

Using deformation energy to analyze nucleosome positioning in genomes.

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

Using Over-Represented Tetrapeptides to Predict Protein Submitochondria Locations

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

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens

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

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 .

Prediction of Cyclin Protein Using Two-Step Feature Selection Technique

Hui Ding, Hua Tang, Jing Yao, 2020, IEEE Access.

Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm

Lihong Li, Quan Zou, Xiucai Ye, 2020, Comput. Biol. Medicine.

iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein

Wei Chen, Fu-Ying Dao, Hui Ding, 2019, IEEE Access.

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..

CirRNAPL: A web server for the identification of circRNA based on extreme learning machine

Qin Ma, Quan Zou, Cankun Wang, 2020, Computational and structural biotechnology journal.

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

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

Applications of machine learning methods in predicting nuclear receptors and their families.

Zi-Mei Zhang, Zheng-Xing Guan, F. Wang, 2020, Medicinal chemistry (Shariqah (United Arab Emirates)).