Projects per year
Personal profile
Education
- 2009 Ph.D., Bioinformatics Program, Taiwan International Graduate Program (TIGP), Academia Sinica (in cooperation with Institute of Bioinformatics, National Chiao Tung University)
- 2003 M.S., Department of Computer Science and Information Engineering, National Taiwan University
- 2001 B.S., Department of Information and Computer Education (minor in English), National Taiwan Normal University
Experience
- 2019- Associate Professor, Professional Master Program for Artificial Intelligence in Medicine, Taipei Medical University
- 2017- Associate Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
- 2009-2017 Assistant Professor, Graduate Institute of Biomedical Informatics, Taipei Medical University
- 2009 Postdoctoral fellow, Institute of Information Sciences, Academia Sinica
Awards
- 2015, Awarded “Teaching Excellence Award”
- 2014, Awarded “Teaching Excellence Award”
- 2012, Awarded “Excellent Mentor Award”
- 2011, Awarded “Teaching Excellence Award”
Research Interests
- Bioinformatics
- Medical informatics
- Data mining
- Natural language processing
- Immunoinformatics
- Proteomics
URL
Fingerprint
- 6 Similar Profiles
Network
Projects
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以深度學習分析臨床特徵及胚胎品質以提升人工受孕懷孕率之系統性預測方法開發
8/1/20 → 7/1/21
Project: A - Government Institution › b - Ministry of Science and Technology
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以深度學習方法優化抗高血壓胜肽預測之生物資訊學研究
7/1/20 → 2/1/21
Project: A - Government Institution › b - Ministry of Science and Technology
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Computer-Aided Peptide-Based Drug Design for Anticancer Peptide Prediction and Bioactivity Evaluation Based on Machine Learning Algorithms
8/1/19 → 7/31/20
Project: A - Government Institution › b - Ministry of Science and Technology
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基於深度學習優化抗發炎胜肽預測及特性分析之免疫生物資訊學研究
7/1/19 → 2/1/20
Project: A - Government Institution › b - Ministry of Science and Technology
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運用人工智慧建構慢性疼痛患者長期監測及自我照顧的健康平台-應用深度學習進行慢性疼痛患者的自動化顏面表情分析
1/1/19 → 12/1/19
Project: A - Government Institution › d - Ministry of Education
Research output
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Exploring online search behavior for COVID-19 preventive measures: The Philippine case
Galido, A., Ecleo, J. J., Husnayain, A. & Chia-Yu Su, E., 2021, In: PLoS ONE. 16, 4, p. e0249810Research output: Contribution to journal › Article › peer-review
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Hiltonol cocktail kills lung cancer cells by activating cancer-suppressors, pkr/oas and restraining the tumor microenvironment
Chang, S. C., Zhang, B. X., Su, E. C. Y., Wu, W. C., Hsieh, T. H., Salazar, A. M., Lin, Y. K. & Ding, J. L., Feb 2 2021, In: International journal of molecular sciences. 22, 4, p. 1-23 23 p., 1626.Research output: Contribution to journal › Article › peer-review
Open Access -
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women
Tsai, K. L., Chang, C. C., Chang, Y. S., Lu, Y. Y., Tsai, I. J., Chen, J. H., Lin, S. H., Tai, C. C., Lin, Y. F., Chang, H. W., Lin, C. Y. & Su, E. C. Y., Dec 2021, In: BMC Medical Informatics and Decision Making. 21, 1, 49.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting hyperoxia-induced lung injury from associated intestinal and lung dysbiosis in neonatal mice
Chen, C. M., Chou, H. C., Yang, Y. C. S. H., Su, E. C. Y. & Liu, Y. R., 2021, (Accepted/In press) In: Neonatology.Research output: Contribution to journal › Article › peer-review
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Visual light perceptions caused by medical linear accelerator: Findings of machinelearning algorithms in a prospective questionnaire-based case-control study
Kuo, C. Y., Lee, C. C., Lee, Y. L., Liou, S. C., Lee, J. C., Su, E. C. Y. & Chen, Y. W., Feb 2021, In: PLoS ONE. 16, 2 February, e0247597.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Additional file 6: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Dec 23 2016
DOI: 10.6084/m9.figshare.c.3652448_d5.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_6_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496690/1
Dataset
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Additional file 2: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Dec 23 2016
DOI: 10.6084/m9.figshare.c.3652448_d6.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496693/1
Dataset
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Additional file 1: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Dec 23 2016
DOI: 10.6084/m9.figshare.c.3652448_d2.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496675/1
Dataset
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Additional file 3: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Dec 23 2016
DOI: 10.6084/m9.figshare.c.3652448_d3.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496681/1
Dataset
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Additional file 5: of Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Singh, O. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Dec 23 2016
DOI: 10.6084/m9.figshare.c.3652448_d1.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496669/1
Dataset