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Scientific Reports
|
June 10, 2022
A deep learning approach for detecting drill bit failures from a small sound dataset
Thanh Tran, Nhat Truong Pham, Jan Lundgren
Computers in Biology and Medicine
|
July 19, 2024
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
International Journal of Biological Macromolecules
|
June 13, 2024
SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features
Shaherin Basith, Nhat Truong Pham, Balachandran Manavalan, et al.
International Journal of Biological Macromolecules
|
March 30, 2023
Pretoria: An effective computational approach for accurate and high-throughput identification of CD8<sup>+</sup> t-cell epitopes of eukaryotic pathogens
Phasit Charoenkwan, Nalini Schaduangrat, Nhat Truong Pham, et al.
Computers in Biology and Medicine
|
August 24, 2023
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Shaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Plos One
|
June 26, 2024
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA
Md Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
Briefings in Bioinformatics
|
January 5, 2024
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA
Nhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, et al.
Briefings in Bioinformatics
|
June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models
Duong Thanh Tran, Nhat Truong Pham, Gwang Lee, 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.
Journal of Molecular Biology
|
September 5, 2024
mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations
Vinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
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Search research articles
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Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Scientific Reports
|
June 10, 2022
A deep learning approach for detecting drill bit failures from a small sound dataset
Thanh Tran, Nhat Truong Pham, Jan Lundgren
Computers in Biology and Medicine
|
July 19, 2024
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
International Journal of Biological Macromolecules
|
June 13, 2024
SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features
Shaherin Basith, Nhat Truong Pham, Balachandran Manavalan, et al.
International Journal of Biological Macromolecules
|
March 30, 2023
Pretoria: An effective computational approach for accurate and high-throughput identification of CD8<sup>+</sup> t-cell epitopes of eukaryotic pathogens
Phasit Charoenkwan, Nalini Schaduangrat, Nhat Truong Pham, et al.
Computers in Biology and Medicine
|
August 24, 2023
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Shaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Plos One
|
June 26, 2024
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA
Md Harun-Or-Roshid, Nhat Truong Pham, Balachandran Manavalan, et al.
Briefings in Bioinformatics
|
January 5, 2024
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA
Nhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, et al.
Briefings in Bioinformatics
|
June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models
Duong Thanh Tran, Nhat Truong Pham, Gwang Lee, 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.
Journal of Molecular Biology
|
September 5, 2024
mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations
Vinoth Kumar Sangaraju, Nhat Truong Pham, Leyi Wei, et al.
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