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).

• DiSCO: deconvoluting spatial transcriptomics via combinatorial optimization with a foundational diffusion model.

  PMID 42101928 · PMC13155122 · Briefings in bioinformatics · 2026 · 7 claims · 2 setups

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  Deconvolution of spatial transcriptomics data can be formulated as a combinatorial optimization (CO) problem of assigning single cells to spatial spots so that aggregated single-cell profiles best approximate observed spot expression

  sccube-simulated real simulation-based spatial