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Computers in Biology and Medicine
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February 6, 2025
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Proteomics
|
April 6, 2023
A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome
Le Thi Phan, Changmin Oh, Tao He, et al.
Journal of Molecular Biology
|
November 7, 2024
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Qiaosen Su, Le Thi Phan, Nhat Truong Pham, et al.
Computers in Biology and Medicine
|
December 25, 2023
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computational and Structural Biotechnology Journal
|
September 2, 2022
MLACP 2.0: An updated machine learning tool for anticancer peptide prediction
Le Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.
Briefings in Bioinformatics
|
December 7, 2023
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
Nhat Truong Pham, Le Thi Phan, Jimin Seo, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
TP-ML: A Machine-Learning-Based Tool to Identify Threonine Proteases Using Sequence-Derived Optimal Features
Ahmad Firoz, Adeel Malik, Nitin Mahajan, et al.
Methods (San Diego, Calif.)
|
June 29, 2024
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features
Adeel Malik, Majid Rasool Kamli, Jamal S M Sabir, et al.
Research (Washington, D.C.)
|
March 17, 2023
An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental Validation
Nattanong Bupi, Vinoth Kumar Sangaraju, Le Thi Phan, et al.
Scientific Reports
|
September 27, 2024
Elevated α-1,2-mannosidase MAN1C1 in glioma stem cells and its implications for immunological changes and prognosis in glioma patients
Don Carlo Batara, Hyun-Jin Kim, Le Thi Phan, et al.
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Computers in Biology and Medicine
|
February 6, 2025
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset
Le Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Proteomics
|
April 6, 2023
A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome
Le Thi Phan, Changmin Oh, Tao He, et al.
Journal of Molecular Biology
|
November 7, 2024
MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
Qiaosen Su, Le Thi Phan, Nhat Truong Pham, et al.
Computers in Biology and Medicine
|
December 25, 2023
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computational and Structural Biotechnology Journal
|
September 2, 2022
MLACP 2.0: An updated machine learning tool for anticancer peptide prediction
Le Thi Phan, Hyun Woo Park, Thejkiran Pitti, et al.
Briefings in Bioinformatics
|
December 7, 2023
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
Nhat Truong Pham, Le Thi Phan, Jimin Seo, et al.
IEEE Transactions on Computational Biology and Bioinformatics
|
August 14, 2025
TP-ML: A Machine-Learning-Based Tool to Identify Threonine Proteases Using Sequence-Derived Optimal Features
Ahmad Firoz, Adeel Malik, Nitin Mahajan, et al.
Methods (San Diego, Calif.)
|
June 29, 2024
APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features
Adeel Malik, Majid Rasool Kamli, Jamal S M Sabir, et al.
Research (Washington, D.C.)
|
March 17, 2023
An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental Validation
Nattanong Bupi, Vinoth Kumar Sangaraju, Le Thi Phan, et al.
Scientific Reports
|
September 27, 2024
Elevated α-1,2-mannosidase MAN1C1 in glioma stem cells and its implications for immunological changes and prognosis in glioma patients
Don Carlo Batara, Hyun-Jin Kim, Le Thi Phan, et al.
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