List of works - Nguyen-Quoc-Khanh Le

A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification

scientific article published on 28 November 2020

Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery

scientific article published on 11 November 2019

Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams

scientific article published on 05 November 2019

Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks

scientific article published on 13 June 2018

Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture

scientific article published on 25 October 2019

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

scientific article published on 01 September 2018

ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins

scientific article published on 06 July 2019

Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties

scientific article published on 23 July 2019

Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles

scientific article published on 07 August 2019

Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles

scientific article published on 17 May 2019

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

scientific article

In silico screening of sugar alcohol compounds to inhibit viral matrix protein VP40 of Ebola virus

scientific article published on 13 April 2019

Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.

scientific article published on 22 June 2017

Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.

scientific article

Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins

scientific article published on 18 October 2018

Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences

scientific article published on 06 October 2020

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

scientific article published on 15 July 2019

Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs

scientific article

Prediction of FMN Binding Sites in Electron Transport Chains based on 2-D CNN and PSSM Profiles

scientific article published on 01 August 2019

Radiomic Immunophenotyping of GSEA-Assessed Immunophenotypes of Glioblastoma and Its Implications for Prognosis: A Feasibility Study

scientific article published on 19 October 2020

Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features

scientific article published on 24 January 2020

Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins

scientific article published on 01 February 2019

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

scientific article published on 22 April 2019

XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

scientific article published on 15 September 2020

iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding

scientific article published on 26 February 2019

iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule

scientific article published on 28 March 2019

iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule

scientific article published on 04 May 2019

List of works by Nguyen-Quoc-Khanh Le

A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification

Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery

Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams

Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks

Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture

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

ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins

Ensemble of Deep Recurrent Neural Networks for Identifying Enhancers via Dinucleotide Physicochemical Properties

Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles

Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles

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

In silico screening of sugar alcohol compounds to inhibit viral matrix protein VP40 of Ebola virus

Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.

Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.

Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins

Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences

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

Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs

Prediction of FMN Binding Sites in Electron Transport Chains based on 2-D CNN and PSSM Profiles

Radiomic Immunophenotyping of GSEA-Assessed Immunophenotypes of Glioblastoma and Its Implications for Prognosis: A Feasibility Study

Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features

Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins

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

XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding

iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule

iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule