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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Causal models in epidemiology: past inheritance and genetic future.
PMID 16859537 · PMC1557493 · Environmental health : a global access science source · 2006 · 8 claims · 3 setups
Interaction is a fundamental characteristic of any causal process involving probabilistic steps, not a second-order phenomenon identified after accounting for main effects
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Supervised learning-based tagSNP selection for genome-wide disease classifications.
PMID 18366619 · PMC2386071 · BMC genomics · 2008 · 7 claims · 2 setups
SRFA (Supervised Recursive Feature Addition) is a novel feature selection method combining supervised learning and statistical redundancy measures for SNP selection
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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
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Haplotype analysis of common variants in the BRCA1 gene and risk of sporadic breast cancer.
PMID 15743496 · PMC1064127 · Breast cancer research : BCR · 2005 · 7 claims · 5 setups
A common BRCA1 haplotype (haplotype 2, C A G G) is associated with a modest increase in sporadic breast cancer risk
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A parsimony approach to biological pathway reconstruction/inference for genomes and metagenomes.
PMID 19680427 · PMC2714467 · PLoS computational biology · 2009 · 8 claims · 6 setups
The naïve mapping approach (present if ≥1 associated function is found) leads to an inflated estimate of biological pathways and overestimates functional diversity of a sample.