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 · 80
OSeMOSYS Global, an open-source, open data global electricity system model generator.
PMID 36241673 · PMC9568605 · Scientific data · 2022 · 8 claims · 5 setups
OSeMOSYS Global is an open-source, open-data global electricity system model generator built on the OSeMOSYS framework
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Has reproduction · 40
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.
PMID 38950178 · PMC11236288 · Bioinformatics (Oxford, England) · 2024 · 8 claims · 2 setups
DeepGSEA is an explainable deep gene set enrichment analysis method built on interpretable, prototype-based neural networks.
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Has reproduction · 94
Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.
PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups
Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies
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Has reproduction · 83
ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries.
PMID 41790830 · PMC12991369 · PLoS computational biology · 2026 · 8 claims · 3 setups
ConNIS provides an analytic solution for the probability of observing the longest insertion-free sequence within a gene given its length and number of insertion sites under non-essentiality.
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Full-text index only
Genome-wide prediction of functional gene-gene interactions inferred from patterns of genetic differentiation in mice and men.
PMID 18270580 · PMC2217631 · PloS one · 2008 · 8 claims · 6 setups
Pairs of unlinked SNPs showing excess genetic differentiation (LD in mouse RILs, Fst in human populations) beyond what simulations/coalescent models predict by chance represent candidate functionally interacting (epistatic) gene pairs.