Simple jQuery Dropdowns

Browsing by Author Phasit Charoenkwan

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 20 of 21  next >
Issue DateTitleAuthor(s)
1-Aug-2021Article ipmi: Machine learning-aided identification of parametrial invasion in women with early-stage cervical cancerPhasit Charoenkwan; Watshara Shoombuatong; Chalaithorn Nantasupha; Tanarat Muangmool; Prapaporn Suprasert; Kittipat Charoenkwan; Mahidol University; Chiang Mai University
1-Sep-2021BERT4Bitter: A bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptidesPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Kyushu Institute of Technology; Ajou University School of Medicine; Tulane University School of Medicine; Mahidol University; Chiang Mai University
3-Jan-2022EMPIRICAL COMPARISON AND ANALYSIS OF MACHINE LEARNING-BASED PREDICTORS FOR PREDICTING AND ANALYZING OF THERMOPHILIC PROTEINSPhasit Charoenkwan; Nalini Schaduangrat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lió; Watshara Shoombuatong; Department of Computer Science and Technology; The University of Queensland; Tulane University School of Medicine; Mahidol University; Chiang Mai University
10-Apr-2020Erratum: Correction: Shoombuatong, W., et al. iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties. Int. J. Mol. Sci. 2020, 21, 75 (International journal of molecular sciences (2019) 21 1 PII: E2629)Phasit Charoenkwan; Nalini Schaduangrat; Chanin Nantasenamat; Theeraphon Piacham; Watshara Shoombuatong; Mahidol University; Chiang Mai University
1-Jan-2020iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptidesPhasit Charoenkwan; Sakawrat Kanthawong; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Khon Kaen University; Mahidol University; Chiang Mai University
1-Jan-2020iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptidesPhasit Charoenkwan; Janchai Yana; Nalini Schaduangrat; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Chiang Mai Rajabhat University; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
2-Aug-2021Ibitter‐fuse: A novel sequence‐based bitter peptide predictor by fusing multi‐view featuresPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lio; Watshara Shoombuatong; Department of Computer Science and Technology; The University of Queensland; Tulane University School of Medicine; Mahidol University; Chiang Mai University
2-Oct-2020IDPPIV-SCM: A sequence-based predictor for identifying and analyzing dipeptidyl peptidase IV (DPP-IV) inhibitory peptides using a scoring card methodWatshara Shoombuatong; Phasit Charoenkwan; Sakawrat Kanthawong; Chanin Nantasenamat; M. Mehedi Hasan; Kyushu Institute of Technology; Khon Kaen University; Mahidol University; Chiang Mai University
1-Dec-2021Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card methodPhasit Charoenkwan; Wararat Chiangjong; Vannajan Sanghiran Lee; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Ramathibodi Hospital; Kyushu Institute of Technology; University of Malaya; Mahidol University; Chiang Mai University
1-Jan-2021In silico approaches for the prediction and analysis of antiviral peptides: A reviewPhasit Charoenkwan; Nuttapat Anuwongcharoen; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020IQSP: A sequence-based tool for the prediction and analysis of quorum sensing peptides via chou’s 5-steps rule and informative physicochemical propertiesPhasit Charoenkwan; Nalini Schaduangrat; Chanin Nantasenamat; Theeraphon Piacham; Watshara Shoombuatong; Mahidol University; Chiang Mai University
15-Jun-2020iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representationPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of DipeptidesPhasit Charoenkwan; Janchai Yana; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Chiang Mai Rajabhat University; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Jan-2020Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representationPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Watshara Shoombuatong; Kyushu Institute of Technology; Mahidol University; Chiang Mai University
1-Dec-2021A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptidesPhasit Charoenkwan; Warot Chotpatiwetchkul; Vannajan Sanghiran Lee; Chanin Nantasenamat; Watshara Shoombuatong; Universiti Malaya; King Mongkut's Institute of Technology Ladkrabang; Mahidol University; Chiang Mai University
3-Jan-2022RECENT DEVELOPMENT OF MACHINE LEARNING-BASED METHODS FOR THE PREDICTION OF DEFENSIN FAMILY AND SUBFAMILYPhasit Charoenkwan; Nalini Schaduangrat; S. M. Hasan Mahmud; Orawit Thinnukool; Watshara Shoombuatong; American International University - Bangladesh; Mahidol University; Chiang Mai University
1-Feb-2022Review and Comparative Analysis of Machine Learning-based Predictors for Predicting and Analyzing Anti-angiogenic PeptidesPhasit Charoenkwan; Wararat Chiangjong; Md Mehedi Hasan; Chanin Nantasenamat; Watshara Shoombuatong; Ramathibodi Hospital; Tulane University School of Medicine; Mahidol University; Chiang Mai University
1-Jan-2021StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesPhasit Charoenkwan; Chanin Nantasenamat; Md Mehedi Hasan; Mohammad Ali Moni; Pietro Lio'; Balachandran Manavalan; Watshara Shoombuatong; Department of Computer Science and Technology; The University of Queensland; Ajou University School of Medicine; Tulane University School of Medicine; Mahidol University; Chiang Mai University
1-Oct-2021StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitorsAijaz Ahmad Malik; Warot Chotpatiwetchkul; Chuleeporn Phanus-umporn; Chanin Nantasenamat; Phasit Charoenkwan; Watshara Shoombuatong; King Mongkut's Institute of Technology Ladkrabang; Mahidol University; Chiang Mai University
5-Nov-2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesPhasit Charoenkwan; Wararat Chiangjong; Chanin Nantasenamat; Md Mehedi Hasan; Balachandran Manavalan; Watshara Shoombuatong; Ramathibodi Hospital; Kyushu Institute of Technology; Ajou University School of Medicine; Mahidol University; Chiang Mai University