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).

• iS2C2: a cointelligent platform for mechanistic discovery of disease cellular crosstalk.

  PMID 42108258 · PMC13158306 · Signal transduction and targeted therapy · 2026 · 8 claims · 5 setups

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  iS2C2 integrates the S2C2 cell-cell communication algorithm with LLMs to generate biologically interpretable hypotheses from scRNA-seq and spatial transcriptomics data

  single-cell algorithm domain scrna-seq single-cell perturbation llm-based

• SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.

  PMID 42015285 · PMC13231777 · Genome biology · 2026 · 8 claims · 6 setups

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  SpaNiche integrates smoothed cell-type abundance and ligand-receptor expression matrices via graph-regularized joint NMF, across multiple spatial views, to identify colocalization patterns

  lymph colorectal prostate cerebral simulated spatial scrna-seq

• Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.

  PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups

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  GARDEN identifies and characterizes rare pathogenic cell populations/regions in spatial omics by embedding graph-based dynamic attention into a spatially-aware graph fusion contrastive model

  breast anterior brain olfactory 10x starmap slide-seqv2

• GAMMI: graph-guided contrastive and adversarial integration of single-cell and spatial multi-omics data.

  PMID 42108634 · PMC13158126 · Briefings in bioinformatics · 2026 · 6 claims · 5 setups

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  GAMMI consistently outperforms state-of-the-art integration methods (GLUE, Harmony, MIDAS, scMoMaT) in biological conservation and batch correction across five mosaic single-cell multi-omics benchmarks

  pbmc postmortem gse138852 gammi-derived multi-omics scrna-seq differential

• Cell neighborhood topology directs rare cell population identification.

  PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups

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  RareQ is a framework that quantifies neighborhood connectivity (Q), a cell-specific measure of kNN-graph cliquishness, to detect rare cell populations from single-cell and spatial omics data

  downsampled pbmc brain simulated scrna-seq cite-seq single-cell