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+ | [https://www.nature.com/articles/s41586-025-08937-9 Diet outperforms microbial transplant to drive microbiome recovery in mice] | ||
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+ | [https://www.nature.com/articles/s41586-023-06792-0 Autonomous chemical research with large language models] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.07.02.662744v1 OmniPert: A Deep Learning Foundation Model for Predicting Responses to Genetic and Chemical Perturbations in Single Cancer Cells] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.29.662198v1 GLM-Prior: a nucleotide transformer model reveals prior knowledge as the driver of GRN inference performance] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.04.24.650393v2 Large-scale skin metagenomics reveals extensive prevalence, coordination, and functional adaptation of skin microbiome dermotypes across body sites] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.04.656517v1 Generanno: A Genomic Foundation Model for Metagenomic Annotation] | ||
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+ | [https://www.nature.com/articles/s41587-024-02182-7 Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data] | ||
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+ | [https://www.nature.com/articles/s41592-025-02636-z xTrimoPGLM: unified 100-billion-parameter pretrained transformer for deciphering the language of proteins] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.26.661544v1 Interpreting Attention Mechanisms in Genomic Transformer Models: A Framework for Biological Insights] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.11.659222v1 A large-scale foundation model for bulk transcriptomes] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.25.661532v1 AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model] | ||
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+ | [https://pubmed.ncbi.nlm.nih.gov/39809266/ Gut microbial GABA imbalance emerges as a metabolic signature in mild autism spectrum disorder linked to overrepresented Escherichia] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.18.660497v1 Ultra-fast and Efficient Network Embedding for Gigascale Biological] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.07.03.662911v1 SSAlign: Ultrafast and Sensitive Protein Structure Search at Scale] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.06.14.659567v2 Foundation Model Attributions Reveal Shared Inflammatory Program Across] | ||
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+ | [https://www.nature.com/articles/s41591-025-03610-0 Gut microbiome evolution from infancy to 8 years of age] | ||
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+ | [https://www.cell.com/cell-host-microbe/fulltext/S1931-3128(25)00143-X Intraspecies dynamics underlie the apparent stability of two important skin microbiome species] | ||
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+ | [https://www.nature.com/articles/s41592-025-02627-0 scNET: learning context-specific gene and cell embeddings by integrating single-cell gene expression data with protein–protein interactions] | ||
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+ | [https://www.biorxiv.org/content/10.1101/2025.04.17.649224v1 Fine-Tuning Protein Language Models Unlocks the Potential of Underrepresented Viral Proteomes] | ||
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+ | [https://www.nature.com/articles/s41592-024-02552-8 Orthology inference at scale with FastOMA] | ||
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+ | [https://www.nature.com/articles/s41467-025-58442-w Lineage-specific microbial protein prediction enables large-scale exploration of protein ecology within the human gut] | ||
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+ | [https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-023-01615-w High‑resolution strain‑level microbiome composition analysis from short reads] | ||
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Latest revision as of 18:37, 17 July 2025
Date | Paper index |
Presenter | Paper title |
---|---|---|---|
2025/9/26 | 25-77 | SB Lim |
Diet outperforms microbial transplant to drive microbiome recovery in mice |
2025/9/26 | 25-76 | HB Lee | |
2025/9/26 | 25-75 | YR Jung | |
2025/9/19 | 25-74 | YR Kim | |
2025/9/19 | 25-73 | JY Kim | |
2025/9/19 | 25-72 | SH Ahn |
Generanno: A Genomic Foundation Model for Metagenomic Annotation |
2025/9/12 | 25-71 | EJ Sung |
Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data |
2025/9/12 | 25-70 | HJ Kim | |
2025/9/12 | 25-69 | JY Ma |
Generalized biological foundation model with unified nucleic acid and protein language |
2025/9/5 | 25-68 | JH Cha |
Interpreting Attention Mechanisms in Genomic Transformer Models: A Framework for Biological Insights |
2025/9/5 | 25-67 | IS Choi | |
2025/9/5 | 25-66 | NY Kim |
AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model |
Date | Team | Paper index |
Presenter | Paper title |
---|---|---|---|---|
2024/06/18 | Single-cell | 24-32 | EB Hong |
Spatial transcriptomics reveal neuron–astrocyte synergy in long-term memory |
2024/06/18 | Single-cell | 24-31 | JJ Heo |
scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
2024/06/18 | Single-cell | 24-30 | SM Han |
Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution |
2024/06/18 | Single-cell | 24-29 | HJ Choi | |
2024/06/11 | Single-cell | 24-28 | SA Choi | |
2024/06/11 | Single-cell | 24-27 | HJ Cha |
Cell-type-specific responses to fungal infection in plants revealed by single-cell transcriptomics |
2024/06/11 | Single-cell | 24-26 | YK Jung | |
2024/06/11 | Single-cell | 24-25 | HJ Lee | |
2024/06/04 | Single-cell | 24-24 | HK Lee |
Delineating mouse β-cell identity during lifetime and in diabetes with a single cell atlas |
2024/06/04 | Single-cell | 24-23 | JI Lee |
Multimodal spatiotemporal phenotyping of human retinal organoid development |
2024/06/04 | Single-cell | 24-22 | JH Lee | |
2024/06/04 | Single-cell | 24-21 | JH Lee |
A single-cell analysis of the Arabidopsis vegetative shoot apex |
2024/05/28 | Single-cell | 24-20 | JH Lee |
Droplet-based high-throughput single microbe RNA sequencing by smRandom-seq |
2024/05/28 | Single-cell | 24-19 | YH Lee | |
2024/05/28 | Single-cell | 24-18 | EB Yu | |
2024/05/28 | Single-cell | 24-17 | DY Won |
Spatial metatranscriptomics resolves host–bacteria–fungi interactomes |
2024/05/21 | Single-cell | 24-16 | SG Oh | |
2024/05/21 | Single-cell | 24-15 | SY Park | |
2024/05/21 | Single-cell | 24-14 | HS Moon | |
2024/05/21 | Single-cell | 24-13 | JH Nam |
Spatial cellular architecture predicts prognosis in glioblastoma |
2024/05/14 | Single-cell | 24-12 | HS Na | |
2024/05/14 | Single-cell | 24-11 | PK Kim |
Transcriptional adaptation of olfactory sensory neurons to GPCR identity and activity |
2024/05/14 | Single-cell | 24-10 | SH Kwon | |
2024/05/14 | Single-cell | 24-9 | Q Zhen | |
2024/05/07 | Single-cell | 24-8 | CR Leenaars | |
2024/05/07 | Single-cell | 24-7 | YR Kim | |
2024/05/07 | Single-cell | 24-6 | JY Kim |
Spatial transcriptomics landscape of lesions from non-communicable inflammatory skin diseases |
2024/05/07 | Single-cell | 24-5 | WJ Kim |
Neuregulin 4 suppresses NASH-HCC development by restraining tumor-prone liver microenvironment |
2024/04/23 | Single-cell | 24-4 | G Koh |
Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer’s disease |
2024/04/23 | Single-cell | 24-3 | SH Ahn | |
2024/04/23 | Single-cell | 24-2 | EJ Sung | |
2024/04/23 | Single-cell | 24-1 | HJ Kim |
Date | Team | Paper index |
Presenter | Paper title |
---|---|---|---|---|
2023/08/30 | Single-cell | 23-24 | JW Yu | |
2023/08/09 | Single-cell | 23-23 | IS Choi |
Major data analysis errors invalidate cancer microbiome findings |
2023/08/02 | Single-cell | 23-22 | EJ Sung | |
2023/07/26 | Single-cell | 23-21 | G Koh | |
2023/07/19 | Single-cell | 23-20 | JW Yu |
Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression |
2023/07/12 | Single-cell | 23-19 | JH Cha |
DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data |
2023/07/05 | Single-cell | 23-18 | SB Baek |
Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance |
2023/06/28 | Single-cell | 23-17 | EJ Sung | |
2023/06/21 | Single-cell | 23-16 | IS Choi | |
2023/06/14 | Single-cell | 23-15 | G Koh | |
2023/05/31 | Single-cell | 23-14 | JW Yu |
Mutated processes predict immune checkpoint inhibitor therapy benefit in metastatic melanoma |
2023/05/24 | Single-cell | 23-13 | JH Cha | |
2023/05/17 | Single-cell | 23-12 | SB Baek | |
2023/05/10 | Single-cell | 23-11 | EJ Sung |
Supervised discovery of interpretable gene programs from single-cell data |
2023/05/03 | Single-cell | 23-10 | IS Choi |
Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer |
2023/04/26 | Single-cell | 23-9 | G Koh | |
2023/03/22 | Single-cell | 23-8 | JW Yu |
MetaTiME: Meta-components of the Tumor Immune Microenvironment |
2023/03/08 | Single-cell | 23-7 | JH Cha | |
2023/02/21 | Single-cell | 23-6 | SB Baek | |
2023/02/14 | Single-cell | 23-5 | EJ Sung |
A T cell resilience model associated with response to immunotherapy in multiple tumor types |
2022/01/31 | Single-cell | 23-4 | IS Choi | |
2023/01/25 | Single-cell | 23-3 | G Koh | |
2023/01/17 | Single-cell | 23-2 | JW Yu |
Pan-cancer integrative histology-genomic analysis via multimodal deep learning |
2023/01/11 | Single-cell | 23-1 | JH Cha |
Date | Team | Paper index |
Presenter | Paper title |
---|---|---|---|---|
2021/11/23 | Single-cell | 21-39 | IS Choi | |
2021/11/16 | Single-cell | 21-38 | SB Back | |
2021/11/09 | Single-cell | 21-37 | JH Cha | |
2021/11/02 | Single-cell | 21-36 | SB Baek |
Functional Inference of Gene Regulation using Single-Cell Multi-Omics |
2021/10/26 | Single-cell | 21-35 | IS Choi | |
2021/10/19 | Single-cell | 21-34 | JH Cha | |
2021/10/05 | Single-cell | 21-33 | JH Cha |
Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma |
2021/09/28 | Single-cell | 21-32 | SB Baek | |
2021/09/14 | Single-cell | 21-31 | IS Choi | |
2021/09/07 | Single-cell | 21-30 | JH Cha |
A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancer |
2021/08/31 | Single-cell | 21-29 | IS Choi |
Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma |
2021/08/24 | Single-cell | 21-28 | SB Baek |
Interpreting type 1 diabetes risk with genetics and single-cell epigenomics |
Date | Team | Paper index |
Presenter | Paper title |
---|---|---|---|---|
2021/02/22 | Single-cell | 21-8 | IS Choi |
Functional CRISPR dissection of gene networks controlling human regulatory T cell identity |
21-7 | JH Cha |
Molecular Pathways of Colon Inflammation Induced by Cancer Immunotherapy | ||
2021/02/15 | Single-cell | 21-6 | SB Baek | |
21-5 | IS Choi |
Trajectory-based differential expression analysis for single-cell sequencing data | ||
2021/02/08 | Single-cell | 21-4 | SB Baek |
Genetic determinants of co-accessible chromatin regions in activated T cells across humans |
21-3 | JH Cha |
Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer | ||
2021/02/01 | Single-cell | 21-2 | JW Cho | |
21-1 | JW Cho |