관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Integrative genomic analysis of 21 orofacial diseases identifies shared genetic architecture with systemic diseases
Kisung Nam*, Byeong Soo Eom*, June Yeon Kim*, Moon Geon Lee, Jeong-Min Lee, Kyeongho Lee, Jae-Kook Cha, Jin Man Kim, Seunggeun Lee, Sung-Jin Kim
SNU이승근
scTrilemma: Balancing Identity, Invariance, and Reconstruction in Single-Cell Representation Learning
Yunhak Oh, Yoonho Lee, Junseok Lee, Namkyeong Lee, Sang-Yeon Hwang, Yinhua Piao, Hyomin Kim, Seonghwan Kim, Jaechang Lim, Woo Youn Kim, Sungsoo Ahn, Chanyoung Park
KAIST박찬영
Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics
Joohyeok Kim, Taejin Jeong, Jinyeong Kim, Seong Jae Hwang
Yonsei황성재
FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
Taejin Jeong*, Joohyeok Kim*, Jinyeong Kim, Chanyoung Kim, Seong Jae Hwang
Yonsei황성재
DNACHUNKER: Learnable Tokenization for DNA Language Models
Taewon Kim, Jihwan Shin, Hyomin Kim, Youngmok Jung, Jonghoon Lee, Won-Chul Lee, Sungsoo Ahn, Insu Han
KAIST안성수
GeneRAG: A Retrieval-Augmented Framework for Spatially Resolved Gene Expression Prediction
Hyeongsub Kim, Sihyun Kim, Minyoung Cho, Sanghyun Jo, Minhyeong Lee, Kyungsu Kim
SNU김경수
CRP-dependent DNA anchoring and membrane sequestration define a dual mechanism for MtlR-mediated regulation
Seung-Hwan Lee#, Yeajin Kim#, Gyuhee Kim, Mangyu Choe, Soung-Hun Roh, Minkyung Baek*, Yeong-Jae Seok*
SNU백민경
Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models
Jaehyun Kwak, Nam Cao, Boryeong Cho, Segyu Lee, Sumyeong Ahn^, Se-Young Yun^
KAIST윤세영
Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors
Sung I, Bang D, Kim S, Lee S
SNU김선
Deep learning frameworks for translating cancer drug response from cell-level to patient-level by modeling transcriptome
Kim S, Koo B, Bang D, Sung I, Cho C, Lee S, Won KJ
SNU김선
Patient-level drug response prediction through dual adversarial alignment of pre- and post-drug treatment transcriptomic states
An S, Cho C, Kim S
SNU김선
Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations
Bang D, An S, Sung I, Yun I, Kim S, Lee S
SNU김선
Tailorable porous collagen hydrogels as a physiologically relevant platform for extrachromosomal DNA-associated colorectal cancer research
S Y Jo, J W Shon, S H An, Y J Nam, D W Choi, S M Lee, H G Seo, S Y Chun, H Kim, G H Kim
SNU전세영
Human cytomegalovirus long non-coding RNA counteracts nuclear cGAS to facilitate immune evasion
Lee SW, Kim SC, Kim H, Lee D, Jeong D, Kim HW, Park J, Park K, Hur J, Kim S, Kim VN, Ahn K
SNU김선
Increased local DNA methylation disorder in AMLs with DNMT3A-destabilizing variants and its clinical implication
Lee D, Koo B, Kim S, Byun JM, Hong J, Shin D-Y, Sun C-H, Kim J, Song J-J, Jaiswal S, Yoon S-S, Kim S, Koh Y
SNU김선
SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits
He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi
SNU이승근
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...
SNU백대현
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#
SNU백대현
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park
KAIST박찬영
G³SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment
Yeejoo Han, Sunwoo Kim, Seongyeon Park, Jinho Lee
SNU이진호
Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical features
Koo B, Sung I, Lee S, Kim S
SNU김선
Transcriptome-conditioned molecule generation via gene interaction-aware fragment modeling with a GPT-based architecture
Koo B, Park BK, Kim S
SNU김선
DeepRNA-DTI: A Deep Learning Approach for RNA-Compound Interaction Prediction with Binding Site Interpretability
Haelee Bae, Hojung Nam
Yonsei남호정
KG-SLomics: Cancer Type-Specific Synthetic Lethality Prediction Using Knowledge Graph and Multiomics Integrated Graph Neural Network
Songyeon Lee, Hojung Nam
Yonsei남호정
Genomic Data Classification via Universal Compression
Yasmine Omri, Naomi Sagan, Eugene Min, Heewoong Choi, Taesup Moon, Tsachy Weissman
SNU문태섭
Gene Expression Inference Based on Graph Neural Networks Using L1000 Data
Tae Hyun Kim, Harim Kim, Hyunjin Hwang, Shinwhan Kang, Kijung Shin, Inhwa Baek
KAIST신기정
Single-cell Foundation Models: Bringing Artificial Intelligence into Cell Biology
Seungbyn Baek, Kyungwoo Song, Insuk Lee
Yonsei송경우
MDTR: A Knowledge-Guided Interpretable Representation for Quantifying Liver Toxicity at Transcriptomic Level
Sung I, Lee SS, Bang D, Yi J, Kim S, Lee SH
SNU김선
A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations
Pavithra Nagarajan, Thomas W. Winkler, Amy R. Bentley, Clint L. Miller, Aldi T. Kraja, Karen Schwander, ..., Seunggeun Lee, Terho Lehtimäki, Changwei Li, Ching-Ti Liu, Reedik Mägi, Fumihiko Matsuda, Alanna C. Morrison, Brenda W. J. H. Pe...
SNU이승근
Proteome-wide association studies for blood lipids and comparison with transcriptome-wide association studies
Daiwei Zhang, Boran Gao, Qidi Feng, Ani Manichaikul, ..., Xiang Zhou, Seunggeun Lee
SNU이승근