Spatial Neighborhoods
Cross-source consensus on Spatial Neighborhoods from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Highlighted claims
- Neighborhood readouts are calculated by tissue type, focal cell type, paired neighbor cell type, and distance thresholds of 20 and 40 micrometers. — OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
- For a focal cell type, OpenTME reports the tissue-contained area around those cells and the total number of neighboring cells within the threshold. — OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
- For paired cell types, OpenTME reports neighbor counts, densities, ratios, and average minimum distances. — OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
- OpenTME computes readouts from classified cells and tissue regions, including spatial neighborhood statistics. — OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
- Neighborhood metrics depend on spatial relationships between classified cells within biologically relevant local radii. — OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA