Optimizing Hyperparameter Tuning in Machine Learning to Improve the Predictive Performance of Cross-Species N6-Methyladenosine Sites

por Le, Nguyen Quoc Khanh, Xu, Ling
Publicado 2023

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

por Le, Nguyen-Quoc-Khanh, Ou, Yu-Yen
Publicado 2016

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

por Le, Nguyen-Quoc-Khanh, Ou, Yu-Yen
Publicado 2016

Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation

por Le, Nguyen Quoc Khanh, Huynh, Tuan-Tu
Publicado 2019

SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data

por Le, Nguyen Quoc Khanh, Nguyen, Van-Nui
Publicado 2019

A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning

por Chiu, Fang-Ying, Le, Nguyen Quoc Khanh, Chen, Cheng-Yu
Publicado 2021

Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles

por Kha, Quang-Hien, Ho, Quang-Thai, Le, Nguyen Quoc Khanh
Publicado 2022

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

por Le, Nguyen Quoc Khanh, Yapp, Edward Kien Yee, Yeh, Hui-Yuan
Publicado 2019

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

por Le, Nguyen Quoc Khanh, Yapp, Edward Kien Yee, Nagasundaram, N., Yeh, Hui-Yuan
Publicado 2019

ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis

por Tran, Thi-Oanh, Vo, Thanh Hoa, Lam, Luu Ho Thanh, Le, Nguyen Quoc Khanh
Publicado 2023

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

por Tan, Kok Keng, Le, Nguyen Quoc Khanh, Yeh, Hui-Yuan, Chua, Matthew Chin Heng
Publicado 2019

Risk Score Generated from CT-Based Radiomics Signatures for Overall Survival Prediction in Non-Small Cell Lung Cancer

por Le, Viet-Huan, Kha, Quang-Hien, Hung, Truong Nguyen Khanh, Le, Nguyen Quoc Khanh
Publicado 2021

Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas

por Kha, Quang-Hien, Le, Viet-Huan, Hung, Truong Nguyen Khanh, Le, Nguyen Quoc Khanh
Publicado 2021

On the road to explainable AI in drug-drug interactions prediction: A systematic review

por Vo, Thanh Hoa, Nguyen, Ngan Thi Kim, Kha, Quang Hien, Le, Nguyen Quoc Khanh
Publicado 2022

Improved Prediction Model of Protein and Peptide Toxicity by Integrating Channel Attention into a Convolutional Neural Network and Gated Recurrent Units

por Zhao, Zhengyun, Gui, Jingyu, Yao, Anqi, Le, Nguyen Quoc Khanh, Chua, Matthew Chin Heng
Publicado 2022

Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction

por Liu, Chuan-Ming, Ta, Van-Dai, Le, Nguyen Quoc Khanh, Tadesse, Direselign Addis, Shi, Chongyang
Publicado 2022

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

por Le, Nguyen Quoc Khanh, Yapp, Edward Kien Yee, Nagasundaram, N., Chua, Matthew Chin Heng, Yeh, Hui-Yuan
Publicado 2019

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

por Nguyen, Trinh-Trung-Duong, Le, Nguyen-Quoc-Khanh, Ho, Quang-Thai, Phan, Dinh-Van, Ou, Yu-Yen
Publicado 2020

A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas

por Lam, Luu Ho Thanh, Chu, Ngan Thy, Tran, Thi-Oanh, Do, Duyen Thi, Le, Nguyen Quoc Khanh
Publicado 2022

Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach

por Do, Duyen Thi, Yang, Ming-Ren, Lam, Luu Ho Thanh, Le, Nguyen Quoc Khanh, Wu, Yu-Wei
Publicado 2022