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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scSurv: a deep generative model for single-cell survival analysis.
PMID 41429574 · PMC12797213 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups
scSurv combines a Cox proportional hazards model with a deep generative model (VAE) of single-cell transcriptomes to estimate individual cellular contributions to clinical outcomes
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UBD: incorporating uncertainty in cell type proportion estimates from bulk samples to infer cell-type-specific profiles.
PMID 41520227 · PMC12895075 · Briefings in bioinformatics · 2026 · 7 claims · 4 setups
Existing CTS deconvolution methods (e.g., CIBERSORTx, TCA, bMIND, CellDMC, HBI) require cell type proportions that are in practice only estimated, not known, introducing unaccounted uncertainty into CTS inference.