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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A DNA microarray survey of gene expression in normal human tissues.
PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups
Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.
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Has reproduction · 73
Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.
PMID 37218167 · PMC10208159 · Epigenetics · 2023 · 8 claims · 7 setups
Probe-specific upper and lower thresholds for flagging aberrant DNA methylation can be derived from a reference database of >2,000 normal and tumour-adjacent normal samples spanning 25 tissue types.
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes
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SePaCS--a web-based application for classification of seroreactivity profiles.
PMID 17478503 · PMC1933220 · Nucleic acids research · 2007 · 8 claims · 4 setups
SePaCS is a freely available web-based tool that trains and applies multiple classification methods (4 Naive Bayes variants, SVM with RBF kernel, LDA, DLDA) to seroreactivity profiles and outputs results as a summary table plus a detailed PDF report
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Has reproduction · 87
CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.
PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 6 setups
CoINcIDE is a methodological framework that discovers replicable patient subtypes (meta-clusters) across multiple datasets by finding consensus across dataset-specific clusterings, requiring no between-dataset transformations.
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Integrative genomics analysis of chromosome 5p gain in cervical cancer reveals target over-expressed genes, including Drosha.
PMID 18559093 · PMC2440550 · Molecular cancer · 2008 · 7 claims · 6 setups
Gain of chromosome 5p is the most frequent genomic alteration in invasive cervical cancer