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).

• Machine learning developed an intratumor heterogeneity signature for predicting clinical outcome and immunotherapy benefit in bladder cancer.

  PMID 39100839 · PMC11291408 · Translational andrology and urology · 2024 · 8 claims · 8 setups

  Has reproduction · 40

  An integrative machine learning procedure (10 methods, 101 algorithm combinations) identified an Enet (alpha=0.2)-based intratumor heterogeneity-related signature (IRS) with the highest average C-index (0.69) across TCGA and GEO cohorts

  bladder skin bulk integrative immune

• Nested co-expression network analysis identifies compact gene clusters in a black box.

  PMID 41934621 · PMC13163169 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 6 setups

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  Nested-WGCNA is a two-stage algorithm that identifies coarse-grained modules (CGMs) and then, via core decomposition and renormalization, derives fine-grained modules (FGMs) representing subprocesses within each CGM

  tcga-blca tcga-kirc tcga-luad imvigor210 bulk scrna-seq

• Single-cell mitophagy signature-based artificial intelligence model enhances prediction of prognosis and immunotherapy response in non-small-cell lung cancer.

  PMID 41851738 · PMC13112628 · Respiratory research · 2026 · 8 claims · 8 setups

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  A six-gene MRG panel (FOS, CANX, EIF4G1, CALCOCO2, HSP90AB1, PRKAR1A) was selected via LASSO regression as prognostic markers in NSCLC.

  nsclc tcga external immunotherapy single-cell bulk transcriptomic

• Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.

  PMID 36245985 · PMC9553530 · Journal of oncology · 2022 · 8 claims · 8 setups

  Has reproduction

  A three-class WSI cluster (C0/C1/C2) derived via mini batch K-means clustering on Inception V3-extracted image features is significantly associated with overall survival and is an independent prognostic predictor in BLCA.

  tcga-blca gse32894 deep transfer machine