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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Identification of gene interactions associated with disease from gene expression data using synergy networks.
PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups
Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.
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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.
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Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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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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Immersive virtual environment technology: a promising tool for future social and behavioral genomics research and practice.
PMID 20183376 · PMC2829714 · Health communication · 2009 · 8 claims · 4 setups
IVET allows researchers to simultaneously maintain high experimental control and high mundane realism, unlike traditional research settings where these trade off against each other.