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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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Exhaustive prediction of disease susceptibility to coding base changes in the human genome.
PMID 18793467 · PMC2537574 · BMC bioinformatics · 2008 · 8 claims · 7 setups
Inter-species conservation is the strongest single predictor of disease-associated coding mutations among the factors tested.
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Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.
PMID 16757574 · PMC1475747 · Nucleic acids research · 2006 · 6 claims · 8 setups
Applying seven independent computational disease-gene prioritization methods in concert to 9556 positional candidate genes identifies a prioritized set of likely T2D and obesity candidate genes
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Non-EST-based prediction of novel alternatively spliced cassette exons with cell signaling function in Caenorhabditis elegans and human.
PMID 17452356 · PMC1904267 · Nucleic acids research · 2007 · 8 claims · 7 setups
PASE (Prediction of Alternative Signaling Exons) is a computational algorithm combining Markov splice-site models, a Bayesian classifier, species conservation, and Scansite motif scoring to identify novel alternative cassette exons involved in cell signaling.
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CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction.
PMID 18096039 · PMC2246271 · Genome biology · 2007 · 8 claims · 5 setups
CONTRAST predicts exact coding region structures for 65% more human genes than the previous state-of-the-art de novo predictor (N-SCAN)