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publications

Emergence and Persistent Dominance of SARS-CoV-2 Omicron BA.2.3.7 Variant, Taiwan

Published in Emerging Infectious Diseases, 2023

Recommended citation: Pei-Lan Shao*, Hsiao-Chen Tu*, Yu-Nong Gong*, Hung-Yu Shu, Ralph Kirby, Li-Yun Hsu, Hui-Yee Yeo, Han-Yueh Kuo, Yi-Chia Huang, Yung-Feng Lin, Hui-Ying Weng, Yueh-Lin Wu, Chien-Chih Chen, Tzen-Wen Chen, Kuo-Ming Lee, Chung-Guei Huang, Shin-Ru Shih, Wei J Chen, Chen-Chi Wu, Chong-Jen Yu, Shih-Feng Tsai (2023). Emerging Infectious Diseases 29(4):792–796. https://wwwnc.cdc.gov/eid/article/29/4/22-1497_article

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teaching

Genomic Data Science, EMM111

graduate course, International Master Degree Program for Molecular Medicine in Emerging Viral Infections, 2023

Teaching objectives

Genomic data science is an interdisciplinary subject that applies data science and biostatistics to the field of genomics. This course is designed for students in virology or molecular biology related fields. It allows students to understand, analyze and interpret viral genome data in order to have skills of bioinformatic analysis and interdisciplinary Learning.

Deep Learning with Python, EMM112

graduate course, International Master Degree Program for Molecular Medicine in Emerging Viral Infections, 2023

Teaching objectives

This course trains students to have the concept of computational thinking and object-oriented programming. Taking viral and biomedical applications as examples, students will understand the fundamentals of machine and deep learning and the practice of model building.