소개
Our research contributes to this endeavor by focusing on the study of characterizing the systems-level properties and genetic/molecular basis of human disease by integrating and interpreting genomics and transcriptions data.
For decades, high throughput technologies have succesfully captured diverse genome-wide sequence information, quantative gene expression, and regulatory information. The generation of huge volumes of data by these technologies, ‘omics’ have made remarkable contributions to building a comprehensive list of functional elements in the human genome. We are still learning how to translate these data into biological and clinical knowledge. The primary challenge at hand is determining how to connect genotype with phenotype using those data.
구성원
Wongyung Choi
Undergraduate researcher
Yeongmin Kim
Undergraduate researcher
Younghee Lee
Professor
Soo-ah Cho
M.S. student
Byungwook Oh
M.S. student
Younghan Song
M.S-Ph.D
Arok Choi
M.S-Ph.D
Minkyung Choi
M.S-Ph.D
Ingi Song
Alumni(Undergraduate Student)
Hyeongjin Ju
Alumni(Undergraduate Student)
최근 논문
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records
Yeongmin Kim, Wongyung Choi, Woojeong Choi, Grace Ko, Seonggyun Han, Hwan-Cheol Kim, Dokyoon Kim, Dong-Gi Lee, Dong Wook Shin, Younghee Lee
2024
BioData Min .
Brain regional alternative splicing and clinical traits in Alzheimer’s disease
Sara Kim, Seonggyun Han, Kwangsik Nho, Younghee Lee, Insong Koh
2023
BASIC SCIENCE AND PATHOGENESIS
TREM2 splice isoforms generate soluble TREM2 species that disrupt long-term potentiation
Miguel Moutinho, Israel Coronel, Andy P. Tsai, Gonzalo Viana Di Prisco, Taylor Pennington, Brady K. Atwood, Shweta S. Puntambekar, Daniel C. Smith, Pablo Martinez, Seonggyun Han, Younghee Lee, Cristian A. Lasagna-Reeves, Bruce T. Lamb, Stephanie J. Bissel, Kwangsik Nho, Gary E. Landreth
2023
Genome Med .
게시판
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2024-12-27
갤러리
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2024-12-27
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2024-12-19
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2024-08-22