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).

• Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

  PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups

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  MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.

  engineered p53 computational yeast-based regional homology

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

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  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids

• ADZE: a rarefaction approach for counting alleles private to combinations of populations.

  PMID 18779233 · PMC2732282 · Bioinformatics (Oxford, England) · 2008 · 6 claims · 2 setups

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  A generalized rarefaction-based statistic can estimate the sample size-corrected number of distinct alleles private to any combination of populations, generalizing Kalinowski's (2004) private allelic richness to groups of populations.

  populations simulated microsatellite computational