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iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (12), p.21563-21587

2023

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The Influence of the Surface Topographical Cues of Biomaterials on Nerve Cells in Peripheral Nerve Regeneration: A Review

Stem cells international, 2021-07, Vol.2021, p.1-13

2021

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iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (6), p.8797-8814

2021

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Correction: Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

AIMS mathematics, 2024-01, Vol.9 (3), p.5480-5481

2024

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Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

AIMS mathematics, 2023-01, Vol.8 (11), p.27712-27724

2023

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Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC

Journal of theoretical biology, 2018-11, Vol.457, p.163-169

2018

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Fibroblast exosomal TFAP2C induced by chitosan oligosaccharides promotes peripheral axon regeneration via the miR-132-5p/CAMKK1 axis

Bioactive materials, 2023-08, Vol.26, p.249-263

2023

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Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence

Journal of theoretical biology, 2018-10, Vol.454, p.22-29

2018

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Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule

Biophysical chemistry, 2019-10, Vol.253, p.106227-106227, Article 106227

2019

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Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin

Frontiers in bioengineering and biotechnology, 2022-02, Vol.9, p.777320-777320

2022

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Application of conductive PPy/SF composite scaffold and electrical stimulation for neural tissue engineering

Biomaterials, 2020-10, Vol.255, p.120164-120164, Article 120164

2020

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AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides

Bioinformatics (Oxford, England), 2024-03, Vol.40 (3)

2024

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Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition

Journal of molecular graphics & modelling, 2017-11, Vol.78, p.110-117

2017

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AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides

Match (Mülheim), 2024, Vol.91 (1), p.109-131

2024

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iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection

Analytical biochemistry, 2021-10, Vol.630, p.114335-114335, Article 114335

2021

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Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree

Analytical biochemistry, 2022-09, Vol.652, p.114746-114746, Article 114746

2022

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Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information

Acta biotheoretica, 2018-03, Vol.66 (1), p.61-78

2018

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TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites

Computational and structural biotechnology journal, 2024-12, Vol.23, p.129-139

2024

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Geary autocorrelation and DCCA coefficient: Application to predict apoptosis protein subcellular localization via PSSM

Physica A, 2017-02, Vol.467, p.296-306

2017

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M6A-GSMS: Computational identification of N6-methyladenosine sites with GBDT and stacking learning in multiple species

Journal of biomolecular structure & dynamics, 2022-01, Vol.40 (22), p.12380-12391

2022

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Exosomal miR-673-5p from fibroblasts promotes Schwann cell-mediated peripheral neuron myelination by targeting the TSC2/mTORC1/SREBP2 axis

The Journal of biological chemistry, 2022-03, Vol.298 (3), p.101718-101718, Article 101718

2022

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M6A-GSMS: Computational identification of N 6 -methyladenosine sites with GBDT and stacking learning in multiple species

Journal of biomolecular structure & dynamics, 2022-12, Vol.40 (22), p.12380-12391

2022

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Improving the prediction accuracy of protein structural class: Approached with alternating word frequency and normalized Lempel–Ziv complexity

Journal of theoretical biology, 2014-01, Vol.341, p.71-77

2014

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Detrended cross-correlation coefficient: Application to predict apoptosis protein subcellular localization

Mathematical biosciences, 2016-12, Vol.282, p.61-67

2016

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Estimation of critical closing pressure using intravascular blood pressure of the common carotid artery

Medical engineering & physics, 2022-04, Vol.102, p.103759-103759, Article 103759

2022

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iAVPs-ResBi: Identifying antiviral peptides by using deep residual network and bidirectional gated recurrent unit

The Influence of the Surface Topographical Cues of Biomaterials on Nerve Cells in Peripheral Nerve Regeneration: A Review

iEnhancer-MFGBDT: Identifying enhancers and their strength by fusing multiple features and gradient boosting decision tree

Correction: Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

Global existence of strong solutions to compressible Navier-Stokes-Korteweg equations with external potential force

Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou’s PseAAC

Fibroblast exosomal TFAP2C induced by chitosan oligosaccharides promotes peripheral axon regeneration via the miR-132-5p/CAMKK1 axis

Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou’s general PseAAC via Kullback–Leibler divergence

Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule

Proteomic Analysis of Silk Fibroin Reveals Diverse Biological Function of Different Degumming Processing From Different Origin

Application of conductive PPy/SF composite scaffold and electrical stimulation for neural tissue engineering

AACFlow: an end-to-end model based on attention augmented convolutional neural network and flow-attention mechanism for identification of anticancer peptides

Predict protein structural class by incorporating two different modes of evolutionary information into Chou's general pseudo amino acid composition

AMP-EF: An Ensemble Framework of Extreme Gradient Boosting and Bidirectional Long Short-Term Memory Network for Identifying Antimicrobial Peptides

iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection

Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree

Prediction of Apoptosis Protein’s Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information

TMSC-m7G: A transformer architecture based on multi-sense-scaled embedding features and convolutional neural network to identify RNA N7-methylguanosine sites

Geary autocorrelation and DCCA coefficient: Application to predict apoptosis protein subcellular localization via PSSM

M6A-GSMS: Computational identification of N6-methyladenosine sites with GBDT and stacking learning in multiple species

Exosomal miR-673-5p from fibroblasts promotes Schwann cell-mediated peripheral neuron myelination by targeting the TSC2/mTORC1/SREBP2 axis

M6A-GSMS: Computational identification of N 6 -methyladenosine sites with GBDT and stacking learning in multiple species

Improving the prediction accuracy of protein structural class: Approached with alternating word frequency and normalized Lempel–Ziv complexity

Detrended cross-correlation coefficient: Application to predict apoptosis protein subcellular localization

Estimation of critical closing pressure using intravascular blood pressure of the common carotid artery

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