Research Area

• Applied Mathematics & Mathematical Modelling
• Bioinformatics & Computational Biology
• Data Science & Machine Learning
• Optimization, Operations Research, & Graph and Network Analysis

Publications

• List of Selected PUBLICATIONS (Last Three Years)
• Full Articles (International Journals)
• 1. Abdullahi MS, Suratanee A, Piro RM, and Plaimas K., (2024), Persistent Homology Identifies Pathways Associated with Hepatocellular Carcinoma from Peripheral Blood Samples, Mathematics 2024, 12(5), 725.
• 2. Sonsungsan P, Suratanee A, Buaboocha T, Chadchawan S, Plaimas K. (2024), Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis. Genes (Basel). 2024;15(3):316.
• 3. Paklao, T., Suratanee, A., Plaimas, K. (2023), ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology, BMC bioinformatics 24 (1), 492
• 4. Janyasupab, P., Suratanee, A., Plaimas, K. (2023), GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data, November 2023, PeerJ Computer Science 9(1):e1686, DOI: 10.7717/peerj-cs.1686
• 5. Suratanee, A. and Plaimas, K. (2023), Gene Association Classification for Autism Spectrum Disorder: Leveraging Gene Embedding and Differential Gene Expression Profiles to Identify Disease-Related Genes, Applied Sciences (Switzerland), 2023, 13(15), 8980
• 6. Intarapanya, T., Suratanee, A., Pattaradilokrat, S., Plaimas, K. (2023), Modeling the Spread of COVID-19 with the Control of Mixed Vaccine Types during the Pandemic in Thailand, Trop. Med. Infect. Dis. 2023, 8(3), 175, https://doi.org/10.3390/tropicalmed8030175.
• 7. Tangmanussukum, P., Kawichai, T., Suratanee, A., Plaimas, K. (2022), Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction, October 2022, PeerJ Computer Science 8(5):e1124, DOI:10.7717/peerj-cs.1124
• 8. Intarapanya, T., Suratanee, A., Pattaradilokrat, S., Plaimas, K. (2022), Modeling the spread of COVID-19 as a consequence of undocumented immigration toward the reduction of daily hospitalization: Case reports from Thailand, August 2022, PLoS ONE, 17(8):e0273558, DOI: 10.1371/journal.pone.0273558
• 9. Sagulkoo, P., Chuntakaruk, H., Rungrotmongkol, T., Suratanee, A., and Plaimas, K. (2022), Multi-Level Biological Network Analysis and Drug Repurposing Based on Leukocyte Transcriptomics in Severe COVID-19: In Silico Systems Biology to Precision Medicine, J. Pers. Med. 2022, 12(7), 1030; https://doi.org/10.3390/jpm12071030.
• 10. Sonsungsan P., Chantanakool P., Suratanee A., Buaboocha T., Comai L., Chadchawan S. and Plaimas K. (2021), Identification of Key Genes in ‘Luang Pratahn’, Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks. Front. Plant Sci., (December 2021): doi.org/10.3389/fpls.2021.744654. Web of Science (ISI), SCOPUS
• 11. Suratanee A. and Plaimas K. (2021), Hybrid Deep Learning Based on a Heterogeneous Network Profile for Functional Annotations of Plasmodium falciparum Genes. Int. J. Mol. Sci. 22(18) (September 2021): 10019. Web of Science (ISI), SCOPUS
• 12. Suratanee, A., Buaboocha, T., Plaimas, K. (2021), Prediction of Human–Plasmodium vivax Protein Associations from Heterogeneous Network Structures based on Machine Learning Approach, Bioinformatics and Biology Insights, 2021.
• 13. Janyasupab, P., Suratanee, A., Plaimas, K. (2021), Network diffusion with centrality measures to identify disease-related genes, Mathematical Biosciences and Engineering, 2021, 18(3), pp. 2909–2929.
• 14. Kawichai, T., Suratanee, A., Plaimas, K. (2021), Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations, IEEE Access, 2021, 9, pp. 41809–41820, 9374464.

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