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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Has reproduction · 49
Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.
PMID 23326238 · PMC3542081 · PLoS genetics · 2013 · 8 claims · 8 setups
B-cell non-Hodgkin lymphomas display striking intra-tumor (intra-sample) and inter-patient (inter-sample) cytosine methylation heterogeneity that increases progressively with disease aggressiveness (NBC<NGC<FL<GCB<ABC).
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Comparisons of substitution, insertion and deletion probes for resequencing and mutational analysis using oligonucleotide microarrays.
PMID 15722479 · PMC549431 · Nucleic acids research · 2005 · 7 claims · 4 setups
Two base deletion probes display the highest average hybridization specificity, followed by single base substitution, single base deletion, and single base insertion probes.
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Iterative class discovery and feature selection using Minimal Spanning Trees.
PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups
Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering
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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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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.
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.