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).

• Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs.

  PMID 16261191 · PMC1246807 · PLoS computational biology · 2005 · 7 claims · 7 setups

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  A comprehensive stoichiometric model of the MAP was built comprising 197 metabolites, 219 reactions, and 28 proteins

  stoichiometric map tuberculosis flux systematic drug

• 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

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  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.

  liver simulated conserved nearly gene simulation kolmogorov-smirnov

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript

• Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.

  PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups

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  A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies

  modeled analytic factorial power