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Briefings in Bioinformatics
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May 8, 2021
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Frontiers in Immunology
|
August 14, 2018
iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
Balachandran Manavalan, Rajiv Gandhi Govindaraj, Tae Hwan Shin, et al.
Molecular Therapy. Nucleic Acids
|
May 23, 2024
ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, et al.
International Journal of Molecular Sciences
|
April 25, 2019
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, et al.
Computers in Biology and Medicine
|
June 17, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
Current Medicinal Chemistry
|
September 3, 2021
Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites
Shaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, et al.
Bioinformatics (Oxford, England)
|
May 18, 2019
Iterative feature representations improve N4-methylcytosine site prediction
Leyi Wei, Ran Su, Shasha Luan, et al.
Journal of Pharmaceutical Analysis
|
September 22, 2025
HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors
Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, et al.
Molecular Therapy. Nucleic Acids
|
November 24, 2020
Empirical Comparison and Analysis of Web-Based DNA <i>N</i> <sup>4</sup>-Methylcytosine Site Prediction Tools
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Oncotarget
|
November 5, 2017
MLACP: machine-learning-based prediction of anticancer peptides
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
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Search research articles
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Showing results (71-80 of 124) with videos related to
Sort By:
Page
of 13
Briefings in Bioinformatics
|
May 8, 2021
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Frontiers in Immunology
|
August 14, 2018
iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
Balachandran Manavalan, Rajiv Gandhi Govindaraj, Tae Hwan Shin, et al.
Molecular Therapy. Nucleic Acids
|
May 23, 2024
ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, et al.
International Journal of Molecular Sciences
|
April 25, 2019
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides
Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, et al.
Computers in Biology and Medicine
|
June 17, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', et al.
Current Medicinal Chemistry
|
September 3, 2021
Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites
Shaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, et al.
Bioinformatics (Oxford, England)
|
May 18, 2019
Iterative feature representations improve N4-methylcytosine site prediction
Leyi Wei, Ran Su, Shasha Luan, et al.
Journal of Pharmaceutical Analysis
|
September 22, 2025
HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors
Duong Thanh Tran, Nhat Truong Pham, Nguyen Doan Hieu Nguyen, et al.
Molecular Therapy. Nucleic Acids
|
November 24, 2020
Empirical Comparison and Analysis of Web-Based DNA <i>N</i> <sup>4</sup>-Methylcytosine Site Prediction Tools
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Oncotarget
|
November 5, 2017
MLACP: machine-learning-based prediction of anticancer peptides
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Page
of 13