Fu-Ying Dao

About

Hi, I am interested in designing and using computational approaches to solve biological issues. Particularly, I prefer to identify chromatin interactions and cancer biomarkers using artificial intelligence methods, aim to develop precise therapies for cancer by identifying specific chromatin interaction-based biomarkers.

Work

Nanyang Technological University
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The Eric and Wendy Schmidt AI in Science Postdoctoral Fellow

Singapore

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Education

University of Electronic Science and Technology of China
China

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Nanyang Technological University
Singapore

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Publications

A Multi-Omics Integration Framework with Automated Machine Learning Identifies Peripheral Immune-Coagulation Biomarkers for Schizophrenia Risk Stratification

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International Journal of Molecular Sciences

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A Multi-Omics Integration Framework with Automated Machine Learning Identifies Peripheral Immune-Coagulation Biomarkers for Schizophrenia Risk Stratification

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International Journal of Molecular Sciences

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scRiskCell: A single‐cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetes

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iMeta

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Advances in machine learning for epigenetics and biomedical applications

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Methods

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PlantEMS: A comprehensive database of epigenetic modification sites across multiple plant species

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Plant Communications

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RepliChrom: Interpretable machine learning predicts cancer‐associated enhancer‐promoter interactions using DNA replication timing

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iMeta

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Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection

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International Journal of Molecular Sciences

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Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection

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International Journal of Molecular Sciences

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Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection

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International Journal of Molecular Sciences

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Exploring the potential of epigenetic clocks in aging research

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Methods

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AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins

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International Journal of Biological Macromolecules

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iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice.

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Briefings in bioinformatics

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Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information

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Research

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BDselect: A Package for k-mer Selection Based on the Binomial Distribution

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Current Bioinformatics

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BDselect: A Package for k-mer Selection Based on the Binomial Distribution

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Current Bioinformatics

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

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International Journal of Molecular Sciences

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

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International journal of molecular sciences

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

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Methods

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DeepKla: An attention mechanism-based deep neural network for protein lysine lactylation site prediction

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iMeta

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Erratum to: Advances in mapping the epigenetic modifications of 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC) (Biotechnology and Bioengineering, (2021), 118, 11, (4204-4216), 10.1002/bit.27911)

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Biotechnology and Bioengineering

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iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice

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Briefings in Bioinformatics

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iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy

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Frontiers in Microbiology

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

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Biotechnology and bioengineering

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

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Methods (San Diego, Calif.)

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

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Molecular Therapy Nucleic Acids

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A computational platform to identify origins of replication sites in eukaryotes

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Briefings in Bioinformatics

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A computational platform to identify origins of replication sites in eukaryotes.

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Briefings in bioinformatics

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

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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

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Biotechnology and Bioengineering

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

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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

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Briefings in bioinformatics

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

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Briefings in bioinformatics

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

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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Identification of Potential Inhibitors Against SARS-CoV-2 Using Computational Drug Repurposing Study

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Current Bioinformatics

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Identification of Potential Inhibitors Against SARS-CoV-2 Using Computational Drug Repurposing Study

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Current Bioinformatics

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Identification of cyclin protein using gradient boost decision tree algorithm

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Computational and Structural Biotechnology Journal

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Identification of cyclin protein using gradient boost decision tree algorithm.

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Computational and structural biotechnology journal

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Idhs-Deep: An integrated tool for predicting dnase i hypersensitive sites by deep neural network

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters

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Journal of Molecular Biology

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

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Journal of molecular biology

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The prediction of human DNase I hypersensitive sites based on DNA sequence information

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Chemometrics and Intelligent Laboratory Systems

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

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Molecular therapy. Nucleic acids

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

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Briefings in Bioinformatics

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

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Briefings in bioinformatics

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

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Computational and Structural Biotechnology Journal

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

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Computational and structural biotechnology journal

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Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method

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Frontiers in Bioengineering and Biotechnology

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Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method.

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Frontiers in bioengineering and biotechnology

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

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Frontiers in Cell and Developmental Biology

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

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Frontiers in cell and developmental biology

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Recent Development of Computational Predicting Bioluminescent Proteins

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Current Pharmaceutical Design

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

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iScience

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

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iScience

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

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SSRN

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other

Angiogenesis in endometrial carcinoma: Therapies and biomarkers, current options, and future perspectives.

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Gynecologic oncology

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

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Frontiers in Genetics

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A brief review of the computational identification of antifreeze protein

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Current Organic Chemistry

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A survey for predicting enzyme family classes using machine learning methods

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Current Drug Targets

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

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Current drug targets

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IPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein

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IEEE Access

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iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein

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IEEE Access

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

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Bioinformatics

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

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Bioinformatics (Oxford, England)

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Recent development of computational predicting bioluminescent proteins

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Current Pharmaceutical Design

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Recent Development of Computational Predicting Bioluminescent Proteins.

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Current pharmaceutical design

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

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Frontiers in genetics

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

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Frontiers in Genetics

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Identifying phage virion proteins by using two-step feature selection methods

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Molecules

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Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods.

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Molecules (Basel, Switzerland)

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

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Frontiers in genetics

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Recent advances in conotoxin classification by using machine learning methods

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Molecules

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Recent Advances in Conotoxin Classification by Using Machine Learning Methods.

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Molecules (Basel, Switzerland)

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Fu-Ying Dao