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 · 62
Specific Marker Gene Analysis for Primary Central Nervous System Lymphoma Based on Methylation Difference and Development of Detection Primers.
PMID 41097902 · PMC12528802 · Brain and behavior · 2025 · 7 claims · 5 setups
450K microarray analysis identified 26 overlapping differential methylation sites distinguishing PCNSL from CNS and non-CNS groups
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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.
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Proteomics studies reveal important information on small molecule therapeutics: a case study on plasma proteins.
PMID 18973825 · PMC7185545 · Drug discovery today · 2008 · 8 claims · 8 setups
Abundant plasma proteins (albumin, IgG, transferrin) act as 'molecular sponges' that bind and transport low molecular weight proteins/peptides and drugs, extending their half-life by preventing rapid renal clearance.
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Has reproduction · 50
Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas.
PMID 35701420 · PMC9197839 · Scientific data · 2022 · 8 claims · 5 setups
An open, containerised, Nextflow-orchestrated reanalysis pipeline combining metadata annotation, SWATH-MS analysis, statistical analysis, and Expression Atlas integration was developed for public DIA data.
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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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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