Phasit Charoenkwan
Orcid: 0000-0002-8161-6856
According to our database1,
Phasit Charoenkwan
authored at least 35 papers
between 2006 and 2024.
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Bibliography
2024
IEEE Access, 2024
2023
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists.
J. Cheminformatics, December, 2023
StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens.
BMC Bioinform., December, 2023
TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides.
BMC Bioinform., December, 2023
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning.
Comput. Biol. Medicine, May, 2023
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning.
Comput. Biol. Medicine, 2023
SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation.
IEEE Access, 2023
2022
1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches.
Sensors, 2022
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.
J. Comput. Aided Mol. Des., 2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.
Comput. Biol. Medicine, 2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides.
Comput. Biol. Medicine, 2022
IEEE Access, 2022
2021
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.
J. Comput. Aided Mol. Des., 2021
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides.
Bioinform., 2021
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.
Briefings Bioinform., 2021
2020
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides.
J. Chem. Inf. Model., 2020
Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation.
J. Comput. Aided Mol. Des., 2020
Proceedings of the ICCDA 2020: The 4th International Conference on Compute and Data Analysis, 2020
2018
Int. J. Document Anal. Recognit., 2018
ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data.
Proceedings of the 7th International Congress on Advanced Applied Informatics, 2018
2017
Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features.
Int. J. Document Anal. Recognit., 2017
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017
2016
Proceedings of the Digital Libraries: Knowledge, Information, and Data in an Open Access Society, 2016
2015
Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.
BMC Bioinform., December, 2015
SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method.
BMC Bioinform., 2015
Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data.
BMC Bioinform., 2015
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015
2014
SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides.
BMC Bioinform., 2014
2013
HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening.
BMC Bioinform., 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013
Designing predictors of halophilic and non-halophilic proteins using support vector machines.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013
Prediction of Mouse Senescence from HE-Stain Liver Images Using an Ensemble SVM Classifier.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013
2012
Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition.
BMC Bioinform., 2012
2011
NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery.
BMC Bioinform., 2011
2006
DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006