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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Immersive virtual environment technology: a promising tool for future social and behavioral genomics research and practice.
PMID 20183376 · PMC2829714 · Health communication · 2009 · 8 claims · 4 setups
IVET allows researchers to simultaneously maintain high experimental control and high mundane realism, unlike traditional research settings where these trade off against each other.
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Has reproduction
Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population.
PMID 37853325 · PMC10583454 · Genetics, selection, evolution : GSE · 2023 · 8 claims · 6 setups
Selective linkage disequilibrium pruning (SLDP) refines whole-genome SNP sets using GWAS prior information to improve genomic prediction accuracy.
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Speeding disease gene discovery by sequence based candidate prioritization.
PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.
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Optimality driven nearest centroid classification from genomic data.
PMID 17912341 · PMC1991588 · PloS one · 2007 · 7 claims · 5 setups
A theoretical result determines the subset of features of a given size that minimizes the misclassification rate for a nearest-centroid (LDA) classifier, based on equation (4).
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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)