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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A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.
PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)
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CARAT: a novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays.
PMID 16504045 · PMC1402331 · BMC bioinformatics · 2006 · 8 claims · 5 setups
CARAT is a novel algorithm that uses SNP probe intensity and genotype-based allelic dosage response in a regression framework to estimate allele-specific copy number genome-wide.
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Predictive genomics of cardioembolic stroke.
PMID 19064790 · PMC2752697 · Stroke · 2009 · 8 claims · 4 setups
A Bayesian network multivariate model achieves 86% predictive accuracy (AUC) for cardioembolic stroke on fitted values
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Has reproduction · 100
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs.
PMID 38594607 · PMC11003151 · Genetics, selection, evolution : GSE · 2024 · 8 claims · 8 setups
H3K27ac ChIP-seq and RNA-seq were used to construct eRNA expression profiles across multiple tissues in Enshi Black (ES) and Duroc pigs, revealing tissue-level eRNA regulatory landscapes
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Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.
PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups
A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.