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).

• Identification of Poor Prognosis-Associated Fibroblast Subpopulation Signature Genes Utilizing the Scissor Algorithm to Classify Colorectal Cancer Subtypes and Evaluate the Immune Landscape.

  PMID 41787974 · PMC13180509 · Gut and liver · 2026 · 8 claims · 8 setups

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  Scissor+ fibroblast subpopulations significantly correlated with prognosis were identified in CRC using the Scissor algorithm integrating scRNA-seq, bulk RNA-seq, and clinical data

  tcga gse39582 gse166555 scrna-seq bulk single-cell cell-cell

• 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

• A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma.

  PMID 41640425 · PMC12864441 · Frontiers in cell and developmental biology · 2025 · 7 claims · 8 setups

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  The TIs-ML multi-omics model predicts ICB response/survival in ccRCC with superior accuracy (AUC > 0.997) compared to single biomarkers like PD-L1 and TMB

  autoimmune igan scrna-seq bulk bulk scrna-seq scissor-based