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Characterization and identification of antimicrobial peptides with different functional activities

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1098-1114

2020

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DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

Protein science, 2023-10, Vol.32 (10), p.e4758

2023

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AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest

Protein science, 2024-06, Vol.33 (6), p.e5006-n/a

2024

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Interpretable Multi-Scale Deep Learning for RNA Methylation Analysis across Multiple Species

International journal of molecular sciences, 2024-03, Vol.25 (5), p.2869

2024

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Characterization and Identification of Natural Antimicrobial Peptides on Different Organisms

International journal of molecular sciences, 2020-02, Vol.21 (3), p.986

2020

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Identification of species-specific RNA N6-methyladinosine modification sites from RNA sequences

Briefings in bioinformatics, 2023-03, Vol.24 (2)

2023

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StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

International journal of molecular sciences, 2023-06, Vol.24 (12), p.10348

2023

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Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

International journal of molecular sciences, 2023-02, Vol.24 (5), p.4328

2023

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An Intelligent Virtual-Reality System With Multi-Model Sensing for Cue-Elicited Craving in Patients With Methamphetamine Use Disorder

IEEE transactions on biomedical engineering, 2021-07, Vol.68 (7), p.2270-2280

2021

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A Virtual-Reality System Integrated With Neuro-Behavior Sensing for Attention-Deficit/Hyperactivity Disorder Intelligent Assessment

IEEE transactions on neural systems and rehabilitation engineering, 2020-09, Vol.28 (9), p.1899-1907

2020

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Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.PP, p.1-1

2023

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A Machine-Learning-Based Assessment Method for Early-Stage Neurocognitive Impairment by an Immersive Virtual Supermarket

IEEE transactions on neural systems and rehabilitation engineering, 2021, Vol.29, p.2124-2132

2021

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Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

Frontiers in microbiology, 2022-06, Vol.13, p.821233-821233

2022

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A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology

Briefings in bioinformatics, 2023-09, Vol.24 (6)

2023

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Stress Recognition Based on Multiphysiological Data in High-Pressure Driving VR Scene

IEEE sensors journal, 2022-10, Vol.22 (20), p.19897-19907

2022

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Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques

BMC bioinformatics, 2019-12, Vol.20 (Suppl 19), p.703-703, Article 703

2019

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Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3458-3465

2022

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Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins

Scientific reports, 2020-06, Vol.10 (1), p.10541-10541, Article 10541

2020

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Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study

Journal of medical Internet research, 2022-01, Vol.24 (1), p.e28036-e28036

2022

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Towards Accurate Identification of Antibiotic-Resistant Pathogens through the Ensemble of Multiple Preprocessing Methods Based on MALDI-TOF Spectra

International journal of molecular sciences, 2023-01, Vol.24 (2), p.998

2023

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Trend of HPV Molecular Epidemiology in the Post-Vaccine Era: A 10-Year Study

Viruses, 2023-09, Vol.15 (10), p.2015

2023

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Qigong Master: A Qigong-Based Attention Training Game Using Action Recognition and Balance Analysis

IEEE transactions on games, 2024-06, Vol.16 (2), p.376-383

2024

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Virtual Reality-Based Supermarket for Intellectual Disability Classification, Diagnostics and Assessment

IEEE transactions on learning technologies, 2024-01, Vol.17, p.1-10

2024

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Anti-Drugs Chatbot: Chinese BERT-Based Cognitive Intent Analysis

IEEE transactions on computational social systems, 2024-02, Vol.11 (1), p.1-8

2024

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Characterization and identification of antimicrobial peptides with different functional activities

DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning

AMPActiPred: A three‐stage framework for predicting antibacterial peptides and activity levels with deep forest

Interpretable Multi-Scale Deep Learning for RNA Methylation Analysis across Multiple Species

Characterization and Identification of Natural Antimicrobial Peptides on Different Organisms

Identification of species-specific RNA N6-methyladinosine modification sites from RNA sequences

StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture

Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

An Intelligent Virtual-Reality System With Multi-Model Sensing for Cue-Elicited Craving in Patients With Methamphetamine Use Disorder

A Virtual-Reality System Integrated With Neuro-Behavior Sensing for Attention-Deficit/Hyperactivity Disorder Intelligent Assessment

Neuronal Correlates of Task Irrelevant Distractions Enhance the Detection of Attention Deficit/Hyperactivity Disorder

A Machine-Learning-Based Assessment Method for Early-Stage Neurocognitive Impairment by an Immersive Virtual Supermarket

Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach

A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology

Stress Recognition Based on Multiphysiological Data in High-Pressure Driving VR Scene

Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques

Neuronal Abnormalities Induced by an Intelligent Virtual Reality System for Methamphetamine Use Disorder

Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins

Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus

Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study

Towards Accurate Identification of Antibiotic-Resistant Pathogens through the Ensemble of Multiple Preprocessing Methods Based on MALDI-TOF Spectra

Trend of HPV Molecular Epidemiology in the Post-Vaccine Era: A 10-Year Study

Qigong Master: A Qigong-Based Attention Training Game Using Action Recognition and Balance Analysis

Virtual Reality-Based Supermarket for Intellectual Disability Classification, Diagnostics and Assessment

Anti-Drugs Chatbot: Chinese BERT-Based Cognitive Intent Analysis

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