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).

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

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  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness

• Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

  PMID 19761607 · PMC2759961 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  2LOmb performs an omnibus permutation test on ensembles of two-locus analyses via a four-step algorithm (two-locus analysis, permutation test, global p-value determination, progressive ensemble search)

  simulated same snp type two-locus 2lomb benchmark

• Computational verification of protein-protein interactions by orthologous co-expression.

  PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.

  cerevisiae orthologs cdc28 yeast co-expression ortholog orthologous

• Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes.

  PMID 18053250 · PMC2246260 · Genome biology · 2007 · 8 claims · 4 setups

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  Loss-of-function phenotypes in yeast are predictable from a gene's connections in a functional gene network via guilt-by-association.

  saccharomyces guilt-by-association comparison network-guided