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 · 100
Computational modeling demonstrates that glioblastoma cells can survive spatial environmental challenges through exploratory adaptation.
PMID 31836713 · PMC6911112 · Nature communications · 2019 · 8 claims · 6 setups
Exploratory adaptation (stochastic gene-regulatory network perturbation) explains how GBM cells adapt phenotypically across spatially distinct tumor regions
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Characterization of the linkage disequilibrium structure and identification of tagging-SNPs in five DNA repair genes.
PMID 16091150 · PMC1208870 · BMC cancer · 2005 · 7 claims · 5 setups
Three of the five DNA repair genes (MRE11A, RAD50, XRCC4) do not conform to a contiguous haplotype block structure; instead SNPs in high LD can be non-contiguous, fitting a more flexible LD group paradigm
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Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.
PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups
GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.
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Identifying the important HIV-1 recombination breakpoints.
PMID 18787691 · PMC2522274 · PLoS computational biology · 2008 · 8 claims · 3 setups
Local sequence identity between co-packaged parental RNAs strongly influences the probability of strand-transfer/breakpoint location, with fewer breakpoints occurring near mismatches
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Method of regulatory network that can explore protein regulations for disease classification.
PMID 19962281 · PMC7126395 · Artificial intelligence in medicine · 2010 · 6 claims · 2 setups
A regulatory network (RN) can be constructed as a hopfield-like network, with nodes as biomarkers and directed weighted connections as regulatory relationships, optimized by minimizing an energy function measuring input-output disagreement.