单细胞空间组学Nature论文，1:1代码全文复现

Core Insights - Spatial transcriptomics is transforming the understanding of cellular interactions and functions by providing measurable data on "where cells are, what they are doing, and who they are interacting with" [1] - The future competition in spatial omics will focus on constructing interpretable spatial coordinate systems and establishing evidence chains linking location, interaction, signal, and phenotype [1] Course Features - Comprehensive teaching covering the entire workflow of spatial transcriptomics, including data structure, quality control, annotation, and visualization, with supportive R/Python code templates [6] - One-on-one guidance tailored to individual datasets (Xenium/VisiumHD/MERFISH), ensuring practical application of learned skills [6] - Integration of AI tools and detailed breakdown of Nature articles to enhance understanding of biological significance behind the code [7] - In-depth learning of source code and project structure to enable customization and application of published methods to personal research [7] - Live teaching sessions with recorded materials and ongoing Q&A support to ensure effective learning [7] Course Schedule - The first session will run from January 10 to February 2026, consisting of thirteen classes held on weekends, focusing on both detailed instruction and Q&A sessions [8] Course Core Modules - The first class will focus on understanding the narrative framework of Nature articles and how to apply these insights to personal research [9] - Subsequent classes will cover data processing, spatial statistics, cell segmentation, and the reproduction of figures from published studies, emphasizing practical skills and reproducibility [10][12][14][16][18][20][22][24][26][28][30][32][34][35][37] Course Outcomes - Participants will achieve the ability to reproduce high-quality figures from top journals, understanding the input data, key steps, and validation processes involved [46] - Mastery of core methodologies in spatial transcriptomics, enabling the construction of interpretable spatial coordinate systems and the visualization of cellular interactions and signaling pathways [46]