===================== Figure and Table Code ===================== This page maps the bioRxiv manuscript figures and supplementary tables to the curated notebooks in the GitHub repository. Each notebook is intentionally output-free and contains comments describing the original data paths, provenance, and expected generated files. Main Figures ============ .. list-table:: :header-rows: 1 :widths: 12 28 35 25 * - Result - Topic - Curated notebook - Reproduction notes * - Figure 1 - Synthetic modular, nested, and random spatial benchmarks; COSTE, Squidpy, Giotto, and ANE comparison. - `Figure_1_synthetic_benchmark.ipynb `__ - Canonical source came from A100 benchmark notebooks. Synthetic data generation is included, but some final panels were assembled from PDFs. * - Figure 2 - Neonatal mouse pup Xenium StructureMap and hierarchical structures. - `Figure_2_mouse_pup_xenium.ipynb `__ - Requires mouse pup Xenium outputs and t-by-c result tables. * - Figure 3 - Lung fibrosis COSTE analysis, SSS, regional TRS, and TRU remodeling. - `Figure_3_lung_fibrosis_TRU.ipynb `__ - Requires Vannan lung fibrosis processed data and regional annotations. * - Figure 4 - Fibrosis progression and DST-GNN modeling from SSS matrices. - `Figure_4_lung_fibrosis_DST_GNN.ipynb `__ - Requires flattened SSS tables and recovered DST-GNN workspace. * - Figure 5 - Segment-free SSc pleura transcript/cell StructureMap, circular hierarchy, and selected gene panels. - `Figure_5_SSc_pleura_segment_free.ipynb `__ - Requires SSc pleura Xenium/transcript data and t-by-c outputs. Supplementary Figures ===================== .. list-table:: :header-rows: 1 :widths: 14 31 35 20 * - Result - Topic - Curated notebook - Notes * - Supplementary Figure 1 - Synthetic modular benchmark. - `Supp_Fig_01_synthetic_modular.ipynb `__ - A100 modular benchmark source. * - Supplementary Figure 2 - Synthetic nested spatial patterns. - `Supp_Fig_02_synthetic_nested_patterns.ipynb `__ - A100 nested benchmark source. * - Supplementary Figure 3 - COSTE nested-pattern heatmaps. - `Supp_Fig_03_COSTE_nested_heatmaps.ipynb `__ - Uses generated COSTE benchmark outputs. * - Supplementary Figure 4 - Squidpy nested-pattern heatmaps. - `Supp_Fig_04_Squidpy_nested_heatmaps.ipynb `__ - Uses generated Squidpy benchmark outputs. * - Supplementary Figure 5 - Giotto nested-pattern heatmaps. - `Supp_Fig_05_Giotto_nested_heatmaps.ipynb `__ - Uses Giotto benchmark source. * - Supplementary Figure 6 - ANE nested-pattern heatmaps. - `Supp_Fig_06_ANE_nested_heatmaps.ipynb `__ - Uses analytical neighborhood enrichment source. * - Supplementary Figure 7 - Mouse pup hierarchical structures. - `Supp_Fig_07_mouse_pup_structures.ipynb `__ - Requires mouse pup t-by-c and spatial outputs. * - Supplementary Figure 8 - Mouse pup method comparison. - `Supp_Fig_08_mouse_pup_method_comparison.ipynb `__ - Uses runtime/method benchmark code. * - Supplementary Figure 9 - Squidpy parameter sensitivity. - `Supp_Fig_09_squidpy_parameter_sensitivity.ipynb `__ - Compares neighbor/radius settings. * - Supplementary Figure 10 - Human lymph node StructureMap and spatial map. - `Supp_Fig_10_lymph_node_structuremap.ipynb `__ - Direct source is a Y-drive R script plus Xenium lymph node outputs. * - Supplementary Figure 11 - Lung fibrosis unclustered SSS heatmaps. - `Supp_Fig_11_lung_fibrosis_unclustered_heatmaps.ipynb `__ - Requires lung fibrosis SSS matrices. * - Supplementary Figure 12 - SSc pleura transcript/cell panels. - `Supp_Fig_12_SSc_pleura_transcript_cell.ipynb `__ - Uses SSc transcript and cell-level outputs. * - Supplementary Figure 13 - TNBC spatial biomarker statistics. - `Supp_Fig_13_TNBC_spatial_biomarkers.ipynb `__ - Requires Ali TNBC clinical and spatial data. * - Supplementary Figure 14 - TNBC subgroup heatmaps. - `Supp_Fig_14_TNBC_subgroup_heatmaps.ipynb `__ - Per-patient and subgroup Searcher/Findee heatmaps. Supplementary Tables ==================== .. list-table:: :header-rows: 1 :widths: 16 34 34 16 * - Result - Topic - Curated notebook - Notes * - Supplementary Table 1 - Runtime and memory benchmarking for COSTE, Squidpy, Giotto, and ANE. - `Supp_Table_1_runtime_memory.ipynb `__ - Uses A100 mouse pup benchmark scripts and performance counters. * - Supplementary Table 2 - SSc transcript-by-cell SSS. - `Supp_Table_2_SSc_transcript_by_cell.ipynb `__ - Requires SSc transcript-by-cell result tables. * - Supplementary Table 3 - SSc landmark transcript SSS. - `Supp_Table_3_SSc_landmark_transcript_SSS.ipynb `__ - Requires landmark/segment-free output tables. Detailed Provenance =================== For a longer inventory of original local, Y-drive, and A100 locations, see ``docs/cellgps_science_manuscript_code_inventory.md`` in the GitHub repository: https://github.com/hutaobo/cellgps/blob/main/docs/cellgps_science_manuscript_code_inventory.md