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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Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.
PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups
SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.
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Unravelling the hidden heterogeneities of diffuse large B-cell lymphoma based on coupled two-way clustering.
PMID 17888167 · PMC2082044 · BMC genomics · 2007 · 8 claims · 6 setups
A proposed coupled two-way clustering (CTWC/SPC) method combined with a GO-based functional concept consistency score can identify compact, robust gene subsets that define clinically meaningful DLBCL subtypes
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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 · 6 claims · 6 setups
RHEB promoter hypermethylation is a PCNSL-specific biomarker distinguishing PCNSL from other CNS diseases.
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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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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.