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).

• Aggregation propensity of the human proteome.

  PMID 18927604 · PMC2557143 · PLoS computational biology · 2008 · 8 claims · 7 setups

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  Long proteins have, on average, less intense/pronounced aggregation peaks than short proteins

  proteome non-membrane proteins membrane sequence-based correlation statistical

• 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

• Recurring genomic breaks in independent lineages support genomic fragility.

  PMID 17090315 · PMC1636669 · BMC evolutionary biology · 2006 · 6 claims · 6 setups

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  The propensity of a chromosomal region to break is significantly correlated among independent lineages, even after accounting for covariates like region length and functional class.

  hg17 genome computationally comparative marker segmental