Le Nguyen Quoc Khanh

All papers authored by Le Nguyen Quoc Khanh

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2023 Huy-Hoang Dang, Hoang Dang Khoa Ta

, Truc Tran Thanh Nguyen

, Chih-Yang Wang

, Kuen-Haur Lee

, Nguyen Quoc Khanh Le

Identification of a Novel Eight-Gene Risk Model for Predicting Survival in Glioblastoma: A Comprehensive Bioinformatic Analysis

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2022 Jason C. Hsu

, Phung-Anh Nguyen

, Phan Thanh Phuc, Tsai-Chih Lo, Min-Huei Hsu, Min-Shu Hsieh, Nguyen Quoc Khanh Le

, Chi-Tsun Cheng, Tzu-Hao Chang

, Cheng-Yu Chen

Development and Validation of Novel Deep-Learning Models Using Multiple Data Types for Lung Cancer Survival

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Huy Hoang Dang, Hoang Dang Khoa Ta, Truc T. T. Nguyen

, Gangga Anuraga, Chih-Yang Wang, Kuen-Haur Lee, Nguyen Quoc Khanh Le

Prospective role and immunotherapeutic targets of sideroflexin protein family in lung adenocarcinoma: evidence from bioinformatics validation

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2021 Luong Huu Dang

, Nguyen Tan Dung, Ly Xuan Quang, Le Quang Hung, Ngoc Hoang Le, Nhi Thao Ngoc Le

, Nguyen Thi Diem, Nguyen Thi Thuy Nga, Shih-Han Hung

, Nguyen Quoc Khanh Le

Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features

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Justin Bo-Kai Hsu

, Tzong-Yi Lee, Sho-Jen Cheng, Gilbert Aaron Lee, Yung-Chieh Chen, Nguyen Quoc Khanh Le

, Shiu-Wen Huang, Duen-Pang Kuo, Yi-Tien Li

, Tzu-Hao Chang

, Cheng-Yu Chen

Identification of Differentially Expressed Genes in Different Glioblastoma Regions and Their Association with Cancer Stem Cell Development and Temozolomide Response

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Huy-Hoang Dang, Hoang Dang Khoa Ta, Truc T. T. Nguyen

, Gangga Anuraga

, Chih-Yang Wang, Kuen-Haur Lee

, Nguyen Quoc Khanh Le

Identifying GPSM Family Members as Potential Biomarkers in Breast Cancer: A Comprehensive Bioinformatics Analysis

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Nguyen Quoc Khanh Le

, Quang Hien Kha, Van Hiep Nguyen

, Yung-Chieh Chen, Sho-Jen Cheng, Cheng-Yu Chen

Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer

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Fang-Ying Chiu

, Nguyen Quoc Khanh Le

, Cheng-Yu Chen

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

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This paper was not found in any repository, but could be made available legally by the author.

Nguyen Quoc Khanh Le

, Truong Nguyen Khanh Hung, Duyen Thi Do, Luu Ho Thanh Lam, Luong Huu Dang

, Tuan-Tu Huynh

Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

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2020 Justin Bo-Kai Hsu

, Gilbert Aaron Lee, Tzu-Hao Chang

, Shiu-Wen Huang, Nguyen Quoc Khanh Le

, Yung-Chieh Chen, Duen-Pang Kuo, Yi-Tien Li

, Cheng-Yu Chen

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

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Luu Ho Thanh Lam

, Ngoc Hoang Le, Le Van Tuan, Ho Tran Ban, Truong Nguyen Khanh Hung

, Ngan Thi Kim Nguyen, Luong Huu Dang

, Nguyen Quoc Khanh Le

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

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2019 Nguyen-Quoc-Khanh Le

, Binh Phu Nguyen

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

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All papers authored by Le Nguyen Quoc Khanh