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A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP‐binding sites in transport proteins

Proteins, structure, function, and bioinformatics, 2022-07, Vol.90 (7), p.1486-1492

2022

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MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters

Molecular informatics, 2022-09, Vol.41 (9), p.e2100271-n/a

2022

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Using Language Representation Learning Approach to Efficiently Identify Protein Complex Categories in Electron Transport Chain

Molecular informatics, 2020-10, Vol.39 (10), p.e2000033-n/a

2020

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A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features

Gene, 2021-06, Vol.787, p.145643-145643, Article 145643

2021

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FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers

Computers in biology and medicine, 2021-04, Vol.131, p.104258-104258, Article 104258

2021

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Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters

Analytical biochemistry, 2019-07, Vol.577, p.73-81

2019

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Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network

Journal of molecular graphics & modelling, 2019-11, Vol.92, p.86-93

2019

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Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model

Plant molecular biology, 2021-12, Vol.107 (6), p.533-542

2021

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GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models

Computers in biology and medicine, 2021-04, Vol.131, p.104259-104259, Article 104259

2021

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An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches

IEEE/ACM transactions on computational biology and bioinformatics, 2022-01, Vol.19 (1), p.87-94

2022

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TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

BMC medical genomics, 2020-10, Vol.13 (Suppl 10), p.155-155, Article 155

2020

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Converting biomass of agrowastes and invasive plant into alternative materials for water remediation

Biomass conversion and biorefinery, 2023-04, Vol.13 (6), p.5391-5406

2023

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Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model

IEEE/ACM transactions on computational biology and bioinformatics, 2022-03, Vol.19 (2), p.1235-1244

2022

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DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters

Bioinformatics, 2018-09, Vol.34 (18), p.3111-3117

2018

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Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties

Journal of molecular graphics & modelling, 2017-05, Vol.73, p.166-178

2017

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Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels

Computers in biology and medicine, 2021-03, Vol.130, p.104212-104212, Article 104212

2021

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Integrated processing and interpretation to image and derisk a carbonate reservoir clouded by shallow gas; a case study from offshore Vietnam

Leading edge (Tulsa, Okla.), 2021-05, Vol.40 (5), p.357-364

2021

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Metal salt-modified biochars derived from agro-waste for effective congo red dye removal

Environmental research, 2021-09, Vol.200, p.111492-111492, Article 111492

2021

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An interpretable deep learning model for classifying adaptor protein complexes from sequence information

Methods (San Diego, Calif.), 2022-11, Vol.207, p.90-96

2022

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Therapeutic Effectiveness of Cefoperazone for Community-Acquired Pneumonia and Associated Factors in a Tertiary Care Hospital, Vietnam

Journal of Pharmacy and Nutrition Sciences, 2021-06, Vol.11, p.20-27

2021

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Laparoscopic-assisted pancreaticoduodenectomy for periampullary cancer

Vietnam Journal of Endolaparoscopic Surgery, 2020-10, Vol.10 (4)

Vo, Ngoc Bich

2020

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The synthesis of TiO 2 nanoparticles using sulfuric acid method with the aid of ultrasound

Nanomaterials and energy, 2017-12, Vol.6 (2), p.82-88

2017

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A Deep Learning Model for Wound Size Measurement Using Fingernails

2022 6th International Conference on Medical and Health Informatics, 2022, p.141-146

2022

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A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information

Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP‐binding sites in transport proteins

MFPS_CNN: Multi‐filter Pattern Scanning from Position‐specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters

Using Language Representation Learning Approach to Efficiently Identify Protein Complex Categories in Electron Transport Chain

A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features

FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers

Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network

Using word embedding technique to efficiently represent protein sequences for identifying substrate specificities of transporters

Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network

Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model

GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models

An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings

Converting biomass of agrowastes and invasive plant into alternative materials for water remediation

Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model

DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters

Identifying the molecular functions of electron transport proteins using radial basis function networks and biochemical properties

Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels

Integrated processing and interpretation to image and derisk a carbonate reservoir clouded by shallow gas; a case study from offshore Vietnam

Metal salt-modified biochars derived from agro-waste for effective congo red dye removal

An interpretable deep learning model for classifying adaptor protein complexes from sequence information

Therapeutic Effectiveness of Cefoperazone for Community-Acquired Pneumonia and Associated Factors in a Tertiary Care Hospital, Vietnam

Laparoscopic-assisted pancreaticoduodenectomy for periampullary cancer

The synthesis of TiO 2 nanoparticles using sulfuric acid method with the aid of ultrasound

A Deep Learning Model for Wound Size Measurement Using Fingernails

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