Member Profile
Sunah Yang, Graduate student
Email: tjsdk3105@gmail.com / tjsdk3105@snu.ac.kr
Areas of Interest: Bioinformatics / Medical informatics
Education
(2024.03 ~ ) Ph.D. Department of Clinical Medical Science, Seoul National University, Korea
(2021.09 ~ 2024.02) MSc. Department of Clinical Medical Science, Seoul National University, Korea
(2015.03 ~ 2020.08) B.S. Department of Computer Science and Engineering, Kyunghee University, Korea
(2015.03 ~ 2020.08) B.S. Department of Plant Environmental New Resource Engineering, Kyunghee University, Korea
Research Experiences
(2020.09 ~ ) Researcher, Department of Transdisciplinary Medicine, Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Korea
(2019.01 ~ 2019.08) Intern Researcher, Crop Systems Genetics Laboratory, Department of Biological Science, Kyunghee University, Yongin, Gyeonggi, Korea
Publications
Hye Lim Bae+, Kyeonghun Jeong+, Sunah Yang, Hyeji Jun, Kwangsoo Kim*, Young Jun Chai*, "Expression profiles of hypoxia-related genes of cancers originating from anatomically similar locations using TCGA database analysis". bioRxiv,(2022), (Link, Preprint)
Ji Eun Choi, Jae Seok Lee, Min-Sun Jin, Ilias P. Nikas, Kwangsoo Kim, Sunah Yang, Soo Young Park, Jiwon Koh, Sohyeon Yang, Seock-Ah Im* & Han Suk Ryu*, "The prognostic value of a combined immune score in tumor and immune cells in triple-negative breast cancer", Breast Cancer Research (2023)
Jae Sik Kim+, Sunah Yang+, Kyeonghun Jeong, Dong-Yun Kim, Kwangsoo Kim*, Hyun-Cheol Kang*, "Plasma Cell-Free DNA in Uterine Cervical Cancer: Therapeutic Monitoring and Prognostic Values after Radical Radiotherapy", Cancer Research and Treatment, (2022) (Link)
Bohyun Kim+, Minsun Jung+, Kyung Chul Moon+, Dohyun Han, Kwangsoo Kim, Hyeyoon Kim, Sunah Yang, Dongjoo Lee, Hyeji Jun, Kyung-Min Lee, Cheng Hyun Lee, Ilias P. Nikas, Sohyeon Yang, Hyebin Lee*, Han Suk Ryu*, "Quantitative proteomics identifies TUBB6 as a biomarker of muscle-invasion and poor prognosis in bladder cancer", Journal of Cancer, (2022) (Link)
Minsun Jung+, Cheol Lee+, Dohyun Han+, Kwangsoo Kim, Sunah Yang, Ilias P. Nikas, Kyung Chul Moon, Hyeyoon Kim, Min Ji Song, Bohyun Kim, Hyebin Lee* and Han Suk Ryu*, "Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth", Frontiers in Oncology, (2022) (Link)