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).

• 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

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  CSRGPS is a robust, machine-learning-derived prognostic signature that outperforms existing glioma prognostic models across multiple cohorts

  tcga-gbm glioma meta consensus wgcna machine

• Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme.

  PMID 33072547 · PMC7533644 · Frontiers in oncology · 2020 · 8 claims · 7 setups

  Has reproduction · 89

  A GSVA-based method for constructing a metabolic subpathway activity score matrix accurately identifies abnormal GBM metabolic targets

  metabolic gbm tcga u87-mg k-clique gsva-based survival

• 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

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  MEST is a key oncogenic GLD-related gene and a novel therapeutic target in glioma, identified via a machine learning feature selection framework

  bulk single-cell tcga glioma gsva aucell machine