김선Sun Kim
BHI Lab
생명정보, 기계학습
- 논문
- 59
- 구성원
- 12
- 졸업생
- 64
Laboratory of Computational Biology
생물정보학/진유생물학
논문 주제가 비슷한 연구실
서울대학교 백대현 교수 연구실은 AI for Science 분야 연구실로, 연구실 홈페이지 기준 2023–2026년 논문 10편(T1 7편)을 발표했습니다. 현재 박사과정 9명, 석사과정 0명이 소속되어 있습니다. 졸업생은 3명입니다.
2023–2026 · 연구실 홈페이지 기준
연평균 · T1 비율
2.5 · 70%
논문 제목에서 찾은 주제예요. 최근 논문일수록 크게 반영돼요.
논문 10편
Rejuvenation-Responsive and Senolytic-Sensitive Muscle Stem Cells Unveiled by CD200 and CD63 in Geriatric Muscle
Ye Lynne Kim*, Young-Woo Jo*, Takwon Yoo*, Kyusang Yoo, Ji-Hoon Kim, Myungsun Park, In-Wook Song, Hyun Kim, Yea-Eun Kim, Sang-Hyeon Hann, Jong-Eun Park, Daehyun Baek, Young-Yun Kong#
Comprehensive discovery of m6A sites in the human transcriptome at single-molecule resolution
Gihyeon Kang*, Hyeonseo Hwang*, Hyeonseong Jeon*, Heejin Choi*, Hee Ryung Chang*, Nagyeong Yeo*, Junehee Park, Narae Son, Eunkyeong Jeon, Jungmin Lim, Jaeung Yun, Wook Choi, Jae-Yoon Jo, Jong-Seo Kim, Sangho Park, Yoon Ki Kim, and Daehyu...
Mitochondrial fumarate inhibits Parkin-mediated mitophagy
Su Jin Ham*, Sunhoe Bang, Daihn Woo, Jae-Yoon Jo, Takwon Yoo, Eunju Yoon, Yeonju Kyoung, Daehyun Baek, Jong-Seo Kim, Jongkyeong Chung#
N6-methyladenosine modification of HCMV IE1 transcript promotes the repressive state of viral genome to achieve latent infection
Heena Jeong, Nagyeong Yeo, Hyeonseo Hwang, Junhyun Park, Daehyun Baek, Kwangseog Ahn#
Big data and deep learning for RNA biology
Hyeonseo Hwang*, Hyeonseong Jeon*, Nagyeong Yeo* and Daehyun Baek
Circular RNAs trigger nonsense-mediated mRNA decay
Sung Ho Boo*, Min-Kyung Shin*, Hyun Jung Hwang, Hyeonseo Hwang, Sunwoo Chang, TaeSoo Kim, Daehyun Baek, Yoon Ki Kim#
Muscle-resident mesenchymal progenitors sense and repair peripheral nerve injury via the GDNF-BDNF axis
Kyusang Yoo*, Young-Woo Jo, Takwon Yoo, Sang-Hyeon Hann, Inkuk Park, Yea-Eun Kim, Ye Lynne Kim, Joonwoo Rhee, In-Wook Song, Ji-Hoon Kim, Daehyun Baek, Young-Yun Kong#
AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
Hyeonseong Jeon*, Junhak Ahn*, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon#, and Daehyun Baek#
논문 주제 구성이 비슷한 연구실이에요.
BHI Lab
생명정보, 기계학습
BIIL
머신러닝·딥러닝 기반 신약개발과 생물정보학을 연구하며, 저분자·항균 펩타이드 생성, 약물-표적 상호작용 및 ADMET 예측, 해석 가능한 AI 모델을 다룹니다.
Genomics, Precision Medicine
AI Lab
인공지능, 딥러닝, 기계학습