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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Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.
PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups
A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies
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Improved weight management using genetic information to personalize a calorie controlled diet.
PMID 17945020 · PMC2151062 · Nutrition journal · 2007 · 7 claims · 4 setups
Personalizing a weight-management diet using nutrigenetic test results improves long-term BMI reduction and weight loss maintenance compared to a standard diet.
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A high-throughput method for quantifying alleles and haplotypes of the malaria vaccine candidate Plasmodium falciparum merozoite surface protein-1 19 kDa.
PMID 16626494 · PMC1459863 · Malaria journal · 2006 · 8 claims · 5 setups
Pyrosequencing, after adjustment to a standard curve, provides accurate and precise estimates of allele frequencies in mixed MSP-1_19 infections
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PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size.
PMID 16620382 · PMC1459209 · BMC bioinformatics · 2006 · 7 claims · 3 setups
PedGenie is a valid, flexible statistical tool for genetic association analysis in pedigrees of arbitrary size and structure using Monte Carlo significance testing
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Getting it right: being smarter about clinical trials.
PMID 16608383 · PMC1435786 · PLoS medicine · 2006 · 9 claims · 8 setups
Bias and confounding in observational studies can produce misleading associations that are overturned by randomized trials (e.g., HRT).