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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Identification of Cell Subpopulation-Specific Driver Genes Reveals Ideal Candidates for Renal Cell Carcinoma Immunotherapy.
PMID 42074110 · PMC13115843 · International journal of molecular sciences · 2026 · 8 claims · 8 setups
25 immune-related candidate driver genes were identified from tumor, myeloid, and lymphoid cell gene regulatory networks (GRNs) using SCENIC and topological Q statistics.
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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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Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN.
PMID 41547856 · PMC12917120 · Nature communications · 2026 · 8 claims · 8 setups
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
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A global view of protein expression in human cells, tissues, and organs.
PMID 20029370 · PMC2824494 · Molecular systems biology · 2009 · 7 claims · 6 setups
A high fraction (>65%) of proteins is expressed in most human cells and tissues, while very few proteins (<2%) are detected in any single cell type.
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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
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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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Androgen activity in the male embryonic hindbrain drives lethal PFA ependymoma.
PMID 41882358 · PMC13083265 · Nature · 2026 · 8 claims · 8 setups
The cellular hierarchy of PFA ependymoma is less differentiated in male than in female patients
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Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models.
PMID 41540084 · PMC12894745 · NPJ systems biology and applications · 2026 · 8 claims · 8 setups
The presence of immune cells in the environment significantly alters CLL cell activation