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).

• 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

• Statistical analysis of real-time PCR data.

  PMID 16504059 · PMC1395339 · BMC bioinformatics · 2006 · 8 claims · 2 setups

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  Four statistical models (multiple regression, ANCOVA, t-test, Wilcoxon test) were developed to estimate ΔΔCt with associated significance/confidence intervals

  real-time linear

• Network inference and network response identification: moving genome-scale data to the next level of biological discovery.

  PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups

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  Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability

  yeast specified normal coli chip-on-chip chip-sequencing correlation-based