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 · 63
RummaGEO: Automatic mining of human and mouse gene sets from GEO.
PMID 39569206 · PMC11573963 · Patterns (New York, N.Y.) · 2024 · 8 claims · 7 setups
RummaGEO is a gene expression signature search engine built from automatically mined human and mouse RNA-seq perturbation studies in GEO
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Identification and analysis of co-occurrence networks with NetCutter.
PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups
Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.
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Has reproduction · 48
Rbfox2 controls autoregulation in RNA-binding protein networks.
PMID 24637117 · PMC3967051 · Genes & development · 2014 · 8 claims · 8 setups
Rbfox2 cross-regulates AS-NMD events within RNA-binding protein genes to alter their expression, tuning autoregulatory splicing networks and placing Rbfox2 at a critical node of a multilayer regulatory network.
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A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.
PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups
Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units
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An analysis of human microRNA and disease associations.
PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups
MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.
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Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways.
PMID 19744994 · PMC2773259 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 5 setups
560 genetic skin diseases can be decomposed into 71 elementary phenotypic features (42 dermatologic, 29 systemic) that combine to represent each disease as a point in a multidimensional phenotype space