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).
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Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.
PMID 19756158 · PMC2742196 · PLoS computational biology · 2009 · 8 claims · 4 setups
MIP active learning is a novel active learning method that preferentially seeks informative Positive (functionally active) examples rather than only maximizing classifier accuracy.
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Human disease classification in the postgenomic era: a complex systems approach to human pathobiology.
PMID 17625512 · PMC1948102 · Molecular systems biology · 2007 · 8 claims · 5 setups
Current syndromic disease classification lacks specificity despite historically serving clinicians well
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Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.