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).

• Identification and analysis of co-occurrence networks with NetCutter.

  PMID 18781200 · PMC2526157 · PloS one · 2008 · 8 claims · 4 setups

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  Random sampling from a complete permutation set of the bipartite graph permits co-occurrence analysis with optimal stringency, and the edge-swapping (ES) model closely approximates this and is the preferred null-model among six tested.

  publime bipartite randomized co-occurrence null-model signal-to-noise

• Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.

  PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.

  olfactory present same anova-significant microarray step-down peddada

• Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies.

  PMID 18654633 · PMC2464715 · PLoS genetics · 2008 · 8 claims · 5 setups

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  A Bayesian-inspired penalised maximum likelihood stochastic search method can simultaneously analyse all SNPs (up to 500K) from a GWA study in a few hours on a desktop workstation

  fregene-simulated 80k-snp 480k 192k simulated null whole-genome