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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Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.
PMID 19801557 · PMC2780952 · DNA research : an international journal for rapid publication of reports on genes and genomes · 2009 · 6 claims · 3 setups
An SVM trained on 69 binary features of known PID genes can accurately classify PID vs non-PID genes and predict novel candidate PID genes
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QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.
PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups
QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)
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Allelic drop-out may occur with a primer binding site polymorphism for the commonly used RFLP assay for the -1131T>C polymorphism of the Apolipoprotein AV gene.
PMID 16670016 · PMC1513378 · Lipids in health and disease · 2006 · 8 claims · 6 setups
A -987C>T polymorphism located 4bp from the 3' end of the MseI RFLP forward primer causes allelic drop-out, producing incorrect -1131T>C genotypes.
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Duplication count distributions in DNA sequences.
PMID 19256873 · PMC3121164 · Physical review. E, Statistical, nonlinear, and soft matter physics · 2008 · 8 claims · 8 setups
Duplication count distributions N(c) for complex 40-mers show power-law-like decay for c roughly 3 to 50 (or higher) across human, C. elegans, A. thaliana, and D. melanogaster genomes.
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MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
PMID 17553836 · PMC1933124 · Nucleic acids research · 2007 · 8 claims · 8 setups
A hybrid feature combining local contiguous triplet structure-sequence composition, MFE of the secondary structure, and P-value of a randomization test improves classification of real vs pseudo pre-miRNAs