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).

• scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution.

  PMID 41877186 · PMC13134144 · Genome biology · 2026 · 8 claims · 7 setups

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  scComm infers cell-cell communications at single-cell resolution using a data-adaptive L-R weighting module and supervised contrastive learning (SupCon loss) to distinguish significant CCC events from background noise

  simulated spatial liver single-cell simulated spatial scrna-seq

• Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

  PMID 41895263 · PMC13106970 · Cell reports methods · 2026 · 8 claims · 5 setups

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  scRNA-seq references yield significantly higher Pearson correlation and lower RMSE than snRNA-seq references for deconvolution across all four tissue datasets

  adipose same fat-cell real pseudobulk single-cell synthetic