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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Leveraging the germ layer development patterns to predict prognosis and identify MEST as a novel therapeutic target in glioma.
PMID 41501725 · PMC12870398 · Cancer cell international · 2026 · 7 claims · 8 setups
MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework
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A machine learning-defined cellular senescence signature systematically enhances prognostication and guides immunotherapy strategies for the treatment of gliomas.
PMID 41501133 · PMC12886967 · NPJ precision oncology · 2026 · 8 claims · 8 setups
CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts
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Mutant, wild type, or overall p53 expression: freedom from clinical progression in tumours of astrocytic lineage.
PMID 15494720 · PMC2409947 · British journal of cancer · 2004 · 8 claims · 7 setups
Significant overexpression of p53 protein was found in 48% of 74 astrocytic tumours
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Mining expressed sequence tags identifies cancer markers of clinical interest.
PMID 17078886 · PMC1635568 · BMC bioinformatics · 2006 · 8 claims · 6 setups
An EST-mining approach (Fisher Exact Test on tumor vs. non-tumor library hit counts) identifies differentially expressed transcripts with an estimated false discovery rate below 22% when human and mouse screens are combined.