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

• Genomic divergences among cattle, dog and human estimated from large-scale alignments of genomic sequences.

  PMID 16759380 · PMC1525190 · BMC genomics · 2006 · 8 claims · 6 setups

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  Overall pairwise genomic divergences among cattle, dog and human are relatively constant (0.32–0.37 change/site)

  orthologous random cattle aligned three-way pairwise bac