spatial-sim-q2

Question

You are given a set of single cell transcriptomic data and Visium spatial transcriptomic data (spatial.sim.tar.gz). The single cell counts matrix is found at spatial_q_sc_counts.csv, and accompanying cell type metadata is found at spatial_q_sc_metadata.csv. Spatial count data is found at spatial_q_matrix.mtx.gz, gene counts are found at spatial_q_features.tsv.gz, and are found at spot barcodes spatial_q_barcodes.tsv.gz. Finally scale factors are found at spatial_q_scalefactors_json.json, high and low resolution tissue images are found at spatial_q_tissue_hires_image.png and patial_q_tissue_hires_image.png respectively, and tissue positions are found at spatial_q_tissue_positions.csv. The spot-based data is comprised entirely of cell types found in the single cell data. Can you tell me what cell type or cell types, if any, are biased towards being in closer spatial proximity to spots containing Tumor_Core? If none, please return "None". Please list these separated by commas in alphabetical order. Expected answer format: Endothelial,Macrophage.

Inferred answer

Fibroblast_Stroma,MacrophageUniquely inferred from submitted scores.

Domain

Spatial

Question style

Synthetic/Augmented Data

An answer can be uniquely inferred for 54 of 100 questions from submitted scores. Green: correct · Red: incorrect. For questions without a uniquely determined answer: Blue: matches prediction · Orange: differs from prediction. These are inferred answer checks, not official per-question grades.