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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Towards precise classification of cancers based on robust gene functional expression profiles.
PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups
Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets
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Exploiting noise in array CGH data to improve detection of DNA copy number change.
PMID 17272296 · PMC1994778 · Nucleic acids research · 2007 · 7 claims · 4 setups
When aberrations are present, noise in BAC, 19k oligo, and 385k oligo array-CGH data is highly non-Gaussian and shows long-range spatial correlations.
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Indirect genomic effects on survival from gene expression data.
PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups
A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.
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Pharmacogenomic biomarkers.
PMID 12364812 · PMC3850811 · Disease markers · 2002 · 8 claims · 8 setups
Development of a pharmacogenomic biomarker requires sequential steps: laboratory identification, retrospective confirmation in clinical samples, prospective clinical trial validation, and regulatory approval before patient stratification.
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Rapid detection of genomic imbalances using micro-arrays consisting of pooled BACs covering all human chromosome arms.
PMID 16221972 · PMC1253841 · Nucleic acids research · 2005 · 8 claims · 6 setups
Reducing array complexity by pooling five BACs per spot (covering a chromosome arm) increases robustness to amplification-related ratio variation compared with single-BAC spotting
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Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.
PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups
A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.