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).

• A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.

  PMID 19772600 · PMC2765429 · Journal of translational medicine · 2009 · 7 claims · 3 setups

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  The naive Bayes model with the wrapper-based feature selection approach performed best among all predictive models tested for distinguishing CFS from controls.

  subjects naive svm c4.5

• Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.

  PMID 18986552 · PMC2625353 · BMC systems biology · 2008 · 8 claims · 6 setups

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  Integrated WGCNA (IWGCNA), which adds genetic marker-based causality testing to standard WGCNA, can identify a disease-related module and its causal drivers

  cfs most candidate second microarray snp weighted

• 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