Observed arrival · 2026-10-01
STDetail tests what spatial-expression predictions actually recover
A research tool for evaluating virtual spatial transcriptomics predictions against the local expression differences reproduced by split measurements of RNA.
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- Spatial transcriptomics researchers evaluating expression predictions
- Worth noticing
- The site describes ordering-gain and noise-corrected-correlation scores across spatial bands, plus a local toolkit that outputs SVG or 300 dpi PNG figures.
Field notes
The page lays out separate routes for expression tables, score-and-annotation comparisons, and molecule counts with spatial coordinates. Its examples include model rankings in HER2ST, spatial-scale comparisons in a HEST section, and TLS scores in a kidney section; the listed local toolkit returns figures with their data. The homepage also describes a neighboring-difference loss for training, distinct from its evaluation scores.
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