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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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.
PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups
Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)
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Predictive genomics of cardioembolic stroke.
PMID 19064790 · PMC2752697 · Stroke · 2009 · 8 claims · 4 setups
A Bayesian network multivariate model achieves 86% predictive accuracy (AUC) for cardioembolic stroke on fitted values
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BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families.
PMID 16417652 · PMC1413985 · Breast cancer research : BCR · 2006 · 8 claims · 7 setups
BOADICEA predicts accurately the number of BRCA1 and BRCA2 mutations across family groups and discriminates well between carriers and noncarriers
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Has reproduction · 30
Minimal metabolic pathway structure is consistent with associated biomolecular interactions.
PMID 24987116 · PMC4299494 · Molecular systems biology · 2014 · 8 claims · 8 setups
MinSpan, a mixed-integer linear optimization algorithm, computes the shortest, linearly independent pathways (sparsest basis of the null space of the stoichiometric matrix S) for genome-scale metabolic networks, which convex approaches (extreme pathways, elementary flux modes) cannot do at genome scale.
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LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise.
PMID 17386085 · PMC1847688 · BMC bioinformatics · 2007 · 7 claims · 4 setups
LIMPIC is a computational method for detecting protein peaks from linear-mode MALDI-TOF-MS data using background noise reduction and baseline removal followed by non-uniform threshold peak detection and multi-spectra detection-rate classification.
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Adaptive discriminant function analysis and reranking of MS/MS database search results for improved peptide identification in shotgun proteomics.
PMID 18788775 · PMC3744223 · Journal of proteome research · 2008 · 7 claims · 4 setups
PeptideProphet's fixed LDA coefficients for combining search scores (Xcorr', ΔCn, SpRank) may not be optimal under all search/instrument conditions.
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Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information.
PMID 18588693 · PMC2446391 · BMC bioinformatics · 2008 · 8 claims · 5 setups
A decision tree built on 10 selected sequence-derived features classifies SAPs as Disease or Polymorphism with 82.6% accuracy and 0.607 MCC in cross-validation.
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Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information