Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• STAN, a computational framework for inferring spatially informed transcription factor activity.

  PMID 41521668 · PMC12784991 · Nucleic acids research · 2026 · 7 claims · 7 setups

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  STAN, a linear mixed-effects (spatially weighted regression) model, integrates TF-target gene priors, gene expression, spatial coordinates, and histological image features to predict spot-specific TF activity in spatial transcriptomics data

  lymph glioblastoma breast dorsolateral spatial scrna-seq

• sCellST predicts single-cell gene expression from H& E images.

  PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups

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  sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides

  ovarian kidney prostate breast simulation spot-level nucleus

• Spatial transcriptomics reveals altered communities and drivers of aberrant epithelia and pro-fibrotic fibroblasts in interstitial lung diseases.

  PMID 41576947 · PMC12985369 · Cell genomics · 2026 · 7 claims · 7 setups

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  snRNA-seq census of 227,680 nuclei across 48 cell types reveals altered cellular states and compositional rewiring of the distal lung in ILD

  frozen lung flash-frozen spatial single-nucleus scrna-seq 10x