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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Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups
CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.
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Has reproduction · 87
Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.
PMID 38230570 · PMC10795782 · Cancer biology & therapy · 2024 · 8 claims · 6 setups
NOR-specific and MES-specific gene expression patterns are largely mutually exclusive, exhibiting a teams-like behavior across multiple bulk NB transcriptomic datasets
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Has reproduction · 69
COVID-19 vaccination atlas using an integrative systems vaccinology approach.
PMID 40456760 · PMC12130191 · NPJ vaccines · 2025 · 8 claims · 6 setups
mRNA vaccines induce transient but strong immune responses after booster doses
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Full-text index only
Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.
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Has reproduction · 59
Nucleosome regulatory dynamics in response to TGFβ.
PMID 24771338 · PMC4066760 · Nucleic acids research · 2014 · 8 claims · 7 setups
SuMMIt, a Bayesian strand-based mixture model requiring support from both ends of sequenced fragments, enables precise nucleosome mid-position calling, fuzziness scoring and between-condition change detection.