Closed-form floors versus learned models in spatial omics: confirmatory protocol and registration package

Pre-registered confirmatory protocol for a benchmark of pre-specified closed-form floors against published learned models in five spatial-omics task families (cell identity, spatial domains, spatial context to receiver state, held-out cell-type counterfactuals, label transfer). Registered before any confirmation metric was computed, except the retrospective comparison with the authors' published Cellina and CPA results stated in the protocol. Contents: PROTOCOL.md (aim, hypotheses, families and comparators, data roles, analysis with margins and decision rules, power, tier-2 tuning-transfer and capacity diagnostic, deviation policy, compute, development history); spatialfloors-registration-v1.tar.gz (the full package: locked configurations, unit manifests with SHA-256 of every crop's cell-ID list, gene panels, the sealed confirmation job list, the code archive of the release commit and SHA256SUMS); SHA256SUMS. Verify: unpack, then shasum -a 256 -c SHA256SUMS inside registration/.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23931263
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Closed-form floors versus learned models in spatial omics: confirmatory protocol and registration package

Shayan Forghani, Amirhossein Shahsavand
Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
article

Closed-form floors versus learned models in spatial omics: confirmatory protocol and registration package

Shayan Forghani, Amirhossein Shahsavand
article en

Abstract

Pre-registered confirmatory protocol for a benchmark of pre-specified closed-form floors against published learned models in five spatial-omics task families (cell identity, spatial domains, spatial context to receiver state, held-out cell-type counterfactuals, label transfer). Registered before any confirmation metric was computed, except the retrospective comparison with the authors' published Cellina and CPA results stated in the protocol. Contents: PROTOCOL.md (aim, hypotheses, families and comparators, data roles, analysis with margins and decision rules, power, tier-2 tuning-transfer and capacity diagnostic, deviation policy, compute, development history); spatialfloors-registration-v1.tar.gz (the full package: locked configurations, unit manifests with SHA-256 of every crop's cell-ID list, gene panels, the sealed confirmation job list, the code archive of the release commit and SHA256SUMS); SHA256SUMS. Verify: unpack, then shasum -a 256 -c SHA256SUMS inside registration/.

Zenodo (CERN European Organization for Nuclear Research)
Tehran University of Medical Sciences (IR)
Openalex Percentile: Top 24%
Single-cell and spatial transcriptomics
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Closed-form floors versus learned models in spatial omics: confirmatory protocol and registration package — Shayan Forghani, Amirhossein Shahsavand · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS