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Supatcha Lertampaiporn

Showing results (1-10 of 12) with videos related to

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Journal of Molecular Graphics & Modelling|June 27, 2026
A mechanism-guided framework for prioritizing membrane-interaction anti-Vibrio peptides from peptidomics dataSupatcha Lertampaiporn, Warin Wattanapornprom, Apiradee Hongsthong
Life (Basel, Switzerland)|April 3, 2021
Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular LocalizationWarin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong, et al.
Frontiers in Genetics|May 16, 2022
Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive PeptidesSupatcha Lertampaiporn, Apiradee Hongsthong, Warin Wattanapornprom, et al.
Genes|January 26, 2021
Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPsSupatcha Lertampaiporn, Tayvich Vorapreeda, Apiradee Hongsthong, et al.
Life (Basel, Switzerland)|July 29, 2025
EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning MethodsSupatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, et al.
Nucleic Acids Research|April 29, 2014
Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithmSupatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, et al.
Cells|September 18, 2020
<i>Spirulina</i>-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance AnalysisSupatcha Lertampaiporn, Jittisak Senachak, Wassana Taenkaew, et al.
Biodata Mining|March 22, 2022
mSRFR: a machine learning model using microalgal signature features for ncRNA classificationSongtham Anuntakarun, Supatcha Lertampaiporn, Teeraphan Laomettachit, et al.
Nucleic Acids Research|September 27, 2012
Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classificationSupatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, et al.
Biomed Research International|December 31, 2019
PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial ProteinsSupatcha Lertampaiporn, Sirapop Nuannimnoi, Tayvich Vorapreeda, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Molecular Graphics & Modelling|June 27, 2026
A mechanism-guided framework for prioritizing membrane-interaction anti-Vibrio peptides from peptidomics dataSupatcha Lertampaiporn, Warin Wattanapornprom, Apiradee Hongsthong
Life (Basel, Switzerland)|April 3, 2021
Ensemble of Multiple Classifiers for Multilabel Classification of Plant Protein Subcellular LocalizationWarin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong, et al.
Frontiers in Genetics|May 16, 2022
Ensemble-AHTPpred: A Robust Ensemble Machine Learning Model Integrated With a New Composite Feature for Identifying Antihypertensive PeptidesSupatcha Lertampaiporn, Apiradee Hongsthong, Warin Wattanapornprom, et al.
Genes|January 26, 2021
Ensemble-AMPPred: Robust AMP Prediction and Recognition Using the Ensemble Learning Method with a New Hybrid Feature for Differentiating AMPsSupatcha Lertampaiporn, Tayvich Vorapreeda, Apiradee Hongsthong, et al.
Life (Basel, Switzerland)|July 29, 2025
EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning MethodsSupatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, et al.
Nucleic Acids Research|April 29, 2014
Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithmSupatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, et al.
Cells|September 18, 2020
<i>Spirulina</i>-in Silico-Mutations and Their Comparative Analyses in the Metabolomics Scale by Using Proteome-Based Flux Balance AnalysisSupatcha Lertampaiporn, Jittisak Senachak, Wassana Taenkaew, et al.
Biodata Mining|March 22, 2022
mSRFR: a machine learning model using microalgal signature features for ncRNA classificationSongtham Anuntakarun, Supatcha Lertampaiporn, Teeraphan Laomettachit, et al.
Nucleic Acids Research|September 27, 2012
Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classificationSupatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, et al.
Biomed Research International|December 31, 2019
PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial ProteinsSupatcha Lertampaiporn, Sirapop Nuannimnoi, Tayvich Vorapreeda, et al.
Pageof 2