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).
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scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution.
PMID 41877186 · PMC13134144 · Genome biology · 2026 · 8 claims · 7 setups
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
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Cell neighborhood topology directs rare cell population identification.
PMID 41912521 · PMC13199379 · Nature communications · 2026 · 8 claims · 8 setups
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
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SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.
PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups
SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response
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Systematic background selection with BasCoD enhances contrastive dimension reduction in single cell genomics.
PMID 41844632 · PMC13144610 · Nature communications · 2026 · 8 claims · 7 setups
BasCoD is a statistical testing framework using spectral subspace inclusion theory to evaluate whether a candidate background dataset is suitable for contrastive dimension reduction of a target dataset