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).

• Dissecting glioblastoma risk signatures in the tumor immune microenvironment based on multi-dimensional transcriptomics.

  PMID 41880523 · PMC13154832 · GigaScience · 2026 · 7 claims · 8 setups

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  Hallmarks of malignancy and cell cycle regulatory pathways are consistently enriched across single-cell, bulk, and spatial transcriptomic modalities, promoting tumor cell proliferation and progression.

  tumor gbm normal wild-type single-cell bulk microarray

• 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

• KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

  PMID 41907411 · PMC13018899 · iScience · 2026 · 8 claims · 8 setups

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  A malignant epithelial subpopulation (Cluster 0) with the highest CytoTRACE stemness potential and highest EMT activity exists in ESCC scRNA-seq data

  escc degs eca109 kyse180 scrna-seq machine immunohistochemistry

• Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

  PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups

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  Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms

  colon coad ssgsea-based machine differential

• Dominant clones leverage developmental epigenomic states to drive ependymoma.

  PMID 41882368 · PMC13102692 · Nature · 2026 · 8 claims · 8 setups

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  Chromatin accessibility patterns in neural progenitor cells are pre-established during normal development and are subsequently commissioned (not created) by ZR binding to drive oncogene expression

  rgcs ha-tagged developing native-forming bulk csi snmultiome

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted