DNA Microarray Data Clustering by Hidden Markov Models and Bayesian Information Criterion. - Phasit Charoenkwan; Aompilai Manorat; Jeerayut Chaijaruwanich; Sukon Prasitwattanaseree; Sakarindr Bhumiratana (ADMA, 2006)

NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery. - Shinn-Ying Ho; Chih-Yuan Chao; Hui-Ling Huang; Tzai-Wen Chiu; Phasit Charoenkwan; Eric Hwang (BMC Bioinform., 2011)

Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition. - Hui-Ling Huang; Phasit Charoenkwan; Te-Fen Kao; Hua-Chin Lee; Fang-Lin Chang; Wen-Lin Huang; Shinn-Jang Ho; Li-Sun Shu; Wen-Liang Chen; Shinn-Ying Ho (BMC Bioinform., 2012)

Prediction of Mouse Senescence from HE-Stain Liver Images Using an Ensemble SVM Classifier. - Hui-Ling Huang; Ming-Hsin Hsu; Hua-Chin Lee; Phasit Charoenkwan; Shinn-Jang Ho; Shinn-Ying Ho (ACIIDS (2), 2013)

Designing predictors of halophilic and non-halophilic proteins using support vector machines. - Hui-Ling Huang; Yerukala Sathipati Srinivasulu; Phasit Charoenkwan; Hua-Chin Lee; Shinn-Ying Ho (CIBCB, 2013)

Predicting protein crystallization using a simple scoring card method. - Watshara Shoombuatong; Hui-Ling Huang; Jeerayut Chaijaruwanich; Phasit Charoenkwan; Hua-Chin Lee; Shinn-Ying Ho (CIBCB, 2013)

HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening. - Phasit Charoenkwan; Eric Hwang; Robert W. Cutler; Hua-Chin Lee; Li-Wei Ko; Hui-Ling Huang; Shinn-Ying Ho (BMC Bioinform., 2013)

SCMHBP: prediction and analysis of heme binding proteins using propensity scores of dipeptides. - Yi-Fan Liou; Phasit Charoenkwan; Yerukala Sathipati Srinivasulu; Tamara Vasylenko; Shih-Chung Lai; Hua-Chin Lee; Yi-Hsiung Chen; Hui-Ling Huang; Shinn-Ying Ho (BMC Bioinform., 2014)

POC: Paphiopedilum Orchid Classifier. - Sujitra Arwatchananukul; Phasit Charoenkwan; Dan Xu 001 (ICCI*CC, 2015)

Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data. - Hui-Ling Huang; Yu-Chung Wu; Li-Jen Su; Yun-Ju Huang; Phasit Charoenkwan; Wen-Liang Chen; Hua-Chin Lee; William C. Chu; Shinn-Ying Ho (BMC Bioinform., 2015)

SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method. - Tamara Vasylenko; Yi-Fan Liou; Hong-An Chen; Phasit Charoenkwan; Hui-Ling Huang; Shinn-Ying Ho (BMC Bioinform., 2015)

Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes. - Yerukala Sathipati Srinivasulu; Jyun-Rong Wang; Kai-Ti Hsu; Ming-Ju Tsai; Phasit Charoenkwan; Wen-Lin Huang; Hui-Ling Huang; Shinn-Ying Ho (BMC Bioinform., 2015)

Rule-Based Page Segmentation for Palm Leaf Manuscript on Color Image. - Papangkorn Inkeaw; Jakramate Bootkrajang; Phasit Charoenkwan; Sanparith Marukatat; Shinn-Ying Ho; Jeerayut Chaijaruwanich (ICADL, 2016)

Word Cloud of Online Hotel Reviews in Myanmar for Customer Satisfaction Analysis. - Vimolboon Cherapanukorn; Phasit Charoenkwan (IIAI-AAI, 2017)

Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features. - Papangkorn Inkeaw; Phasit Charoenkwan; Hui-Ling Huang; Sanparith Marukatat; Shinn-Ying Ho; Jeerayut Chaijaruwanich (Int. J. Document Anal. Recognit., 2017)

ThaiFBDeep: A Sentimental Analysis Using Deep Learning Combined with Bag-of-Words Features on Thai Facebook Data. - Phasit Charoenkwan (IIAI-AAI, 2018)

Recognition-based character segmentation for multi-level writing style. - Papangkorn Inkeaw; Jakramate Bootkrajang; Phasit Charoenkwan; Sanparith Marukatat; Shinn-Ying Ho; Jeerayut Chaijaruwanich (Int. J. Document Anal. Recognit., 2018)

Word Cloud Analysis of Customer Satisfaction in Cosmetic Products in Thailand. - Orawit Thinnukool; Phasit Charoenkwan; Pattaraporn Khuwuthyakorn; Pachara Tinamat (ICCDA, 2020)

Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation. - Phasit Charoenkwan; Chanin Nantasenamat; Md. Mehedi Hasan 002; Watshara Shoombuatong (J. Comput. Aided Mol. Des., 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. - Phasit Charoenkwan; Janchai Yana; Chanin Nantasenamat; Md. Mehedi Hasan 002; Watshara Shoombuatong (J. Chem. Inf. Model., 2020)

StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. - Phasit Charoenkwan; Wararat Chiangjong; Chanin Nantasenamat; Md. Mehedi Hasan 002; Balachandran Manavalan; Watshara Shoombuatong (Briefings Bioinform., 2021)

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. - Phasit Charoenkwan; Chanin Nantasenamat; Md. Mehedi Hasan 002; Balachandran Manavalan; Watshara Shoombuatong (Bioinform., 2021)

StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors. - Aijaz Ahmad Malik; Warot Chotpatiwetchkul; Chuleeporn Phanus-umporn; Chanin Nantasenamat; Phasit Charoenkwan; Watshara Shoombuatong (J. Comput. Aided Mol. Des., 2021)

Deep Learning in Barcode Recognition: A Systematic Literature Review. - Ratapol Wudhikarn; Phasit Charoenkwan; Kanokwan Malang (IEEE Access, 2022)

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. - Phasit Charoenkwan; Nalini Schaduangrat; Pietro Lio'; Mohammad Ali Moni; Balachandran Manavalan; Watshara Shoombuatong (Comput. Biol. Medicine, 2022)

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. - Phasit Charoenkwan; Nalini Schaduangrat; Mohammad Ali Moni; Pietro Lio'; Balachandran Manavalan; Watshara Shoombuatong (Comput. Biol. Medicine, 2022)

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. - Phasit Charoenkwan; Pramote Chumnanpuen; Nalini Schaduangrat; Pietro Lio'; Mohammad Ali Moni; Watshara Shoombuatong (J. Comput. Aided Mol. Des., 2022)

1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches. - Teerawat Kamnardsiri; Phasit Charoenkwan; Chommaphat Malang; Ratapol Wudhikarn (Sensors, 2022)

SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation. - Pree Thiengburanathum; Phasit Charoenkwan (IEEE Access, 2023)

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. - Phasit Charoenkwan; Chonlatip Pipattanaboon; Chanin Nantasenamat; Md. Mehedi Hasan 002; Mohammad Ali Moni; Pietro Lio'; Watshara Shoombuatong (Comput. Biol. Medicine, 2023)

PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. - Phasit Charoenkwan; Pramote Chumnanpuen; Nalini Schaduangrat; Changmin Oh; Balachandran Manavalan; Watshara Shoombuatong (Comput. Biol. Medicine, 2023)

TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides. - Phasit Charoenkwan; Sasikarn Kongsompong; Nalini Schaduangrat; Pramote Chumnanpuen; Watshara Shoombuatong (BMC Bioinform., 2023)

StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens. - Phasit Charoenkwan; Nalini Schaduangrat; Watshara Shoombuatong (BMC Bioinform., 2023)

DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. - Nalini Schaduangrat; Nuttapat Anuwongcharoen; Phasit Charoenkwan; Watshara Shoombuatong (J. Cheminformatics, 2023)

A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction. - Thanakorn Chaisen; Phasit Charoenkwan; Cheong Ghil Kim; Pree Thiengburanathum (IEEE Access, 2024)

M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy. - Phasit Charoenkwan; Nalini Schaduangrat; Le Thi Phan; Balachandran Manavalan; Watshara Shoombuatong (Future Gener. Comput. Syst., 2025)