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
Related Link
Fingerprint
Dive into the research topics where Emily Chia-Yu Su is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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根據網路搜尋趨勢以預測新冠肺炎確診病例和未檢出率之人工智慧和訊息流行病學研究
1/1/22 → 12/31/22
Project: B - Project of TMU › h - Higher Education Sprout Project
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(教學實踐) 結合數位學習和自主學習法之跨領域資訊專題實作
8/1/21 → 7/31/22
Project: A - Government Institution › d - Ministry of Education
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運用深度學習演算法分析多國資料庫以預防特發性妊娠疾病之臨床預測和致病反應途徑研發(1/3)
8/1/21 → 7/31/22
Project: A - Government Institution › b - Ministry of Science and Technology
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Postoperative intracameral antibiotics on visual acuity change after cataract surgery by SAS
7/1/21 → 2/28/22
Project: A - Government Institution › b - Ministry of Science and Technology
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以深度學習預測抗糖尿病胜肽之免疫生物資訊學研究
7/1/21 → 2/28/22
Project: A - Government Institution › b - Ministry of Science and Technology
Research output
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Expression of the AHPND Toxins PirAvp and PirBvp Is Regulated by Components of the Vibrio parahaemolyticus Quorum Sensing (QS) System
Lin, S. J., Huang, J. Y., Le, P. T., Lee, C. T., Chang, C. C., Yang, Y. Y., Su, E. C. Y., Lo, C. F. & Wang, H. C., Mar 1 2022, In: International journal of molecular sciences. 23, 5, 2889.Research output: Contribution to journal › Article › peer-review
Open Access -
Ileukin10pred: A computational approach for predicting il-10-inducing immunosuppressive peptides using combinations of amino acid global features
Singh, O., Hsu, W. L. & Su, E. C. Y., Jan 2022, In: Biology. 11, 1, 5.Research output: Contribution to journal › Article › peer-review
Open Access -
An examination of COVID-19 mitigation efficiency among 23 countries
Su, E. C. Y., Hsiao, C. H., Chen, Y. T. & Yu, S. H., 2021, In: Healthcare (Switzerland). 9, 6, 755.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Clinical assay for the early detection of colorectal cancer using mass spectrometric wheat germ agglutinin multiple reaction monitoring
Tsai, I. J., Su, E. C. Y., Tsai, I. L. & Lin, C. Y., May 1 2021, In: Cancers. 13, 9, 2190.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features
Singh, O., Hsu, W. L. & Su, E. C. Y., Dec 2021, In: BMC Bioinformatics. 22, 1, 389.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)
Datasets
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MOESM1 of RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion
Chen, C. (Contributor), Lo, C. (Contributor), Wang, S. (Contributor) & Su, E. C. (Contributor), Unknown Publisher, Jan 1 2019
DOI: 10.6084/m9.figshare.11447337.v1, https://springernature.figshare.com/articles/MOESM1_of_RNA_editing-based_classification_of_diffuse_gliomas_predicting_isocitrate_dehydrogenase_mutation_and_chromosome_1p_19q_codeletion/11447337/1
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 4: 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_d4.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_4_of_Prediction_of_HIV-1_protease_cleavage_site_using_a_combination_of_sequence_structural_and_physicochemical_features/4496687/1
Dataset
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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