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目录
- # 1. 生物信息学
- 1-1. Inferring ligand-receptor cellular networks from bulk and spatial transcriptomic datasets with BulkSignalR 1-2. scGPT toward building a foundation model for single-cell multi-omics using generative AI
- # 2. 单细胞空间组
- 2-1. Advances in spatial transcriptomic data analysis 2-2. Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution 2-3. SODB facilitates comprehensive exploration of spatial omics data 2-4. Significance analysis for clustering with single-cell RNA-sequencing data 2-5. Integration of spatial and single-cell data across modalities with weakly linked features 2-6. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain 2-7. Benchmarking spatial clustering methods with spatially resolved transcriptomics data
- # 3. 免疫学相关
- 3-1. A pan-cancer single-cell panorama of human natural killer cells 3-2. Stress-induced red nucleus attenuation induces anxiety-like behavior and lymph node CCL5 secretion 3-3. Dictionary of immune responses to cytokines at single-cell resolution
- # 4. scRNA-scATAC整合
- 4-1. chromVAR inferring transcription-factor-associated accessibility from single-cell epigenomic data 4-2. Spatial profiling of chromatin accessibility in mouse and human tissues 4-3. Integrative analysis of spatial transcriptome with single-cell transcriptome and single-cell epigenome in mouse lungs after immunization 4-4. Spatially resolved gene regulatory and disease-related vulnerability map of the adult Macaque cortex 4-5. Spatial epigenome-transcriptome co-profiling of mammalian tissues 4-6. Epigenetic regulation during cancer transitions across 11 tumour types 4-7. Single-cell analysis of chromatin accessibility in the adult mouse brain