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-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

• Clustering and machine learning-based integration identify cancer associated fibroblasts genes' signature in head and neck squamous cell carcinoma.

  PMID 37065499 · PMC10098459 · Frontiers in genetics · 2023 · 8 claims · 8 setups

  Has reproduction · 63

  Clustering of 31 CAFs genes across 868 HNSCC samples identifies two distinct molecular patterns (C1, C2) with different survival outcomes

  hnscc combined gse164690 tcga-hnsc ssgsea unsupervised immune

• Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment.

  PMID 41613532 · PMC12847018 · Frontiers in oncology · 2025 · 7 claims · 8 setups

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  Tumor cells show significantly upregulated nucleotide metabolic activity, allowing stratification into NUhighepi and NUlowepi subgroups

  tcga-brca breast scrna-seq epithelial ssgsea single-cell cell-cell

• A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.

  PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups

  Has reproduction · 91

  DeClust is a reference-profile-free deconvolution method that incorporates molecular subtyping directly into the deconvolution process, outputting cohort-level cancer subtype and stromal reference profiles rather than per-individual profiles

  tcga simulated muscle-invasive ccrcc computational simulation-based deconvolution

• Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

  PMID 42047819 · PMC13125642 · Cancer immunology, immunotherapy : CII · 2026 · 7 claims · 8 setups

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  A novel ecDNA-related Gene Prognostic Score Model (EGPSM) was constructed using an integrated framework of 101 machine learning algorithm combinations and validated in training, testing, and external cohorts.

  osteosarcoma treatment-naive bulk 143b bulk single-cell cibersort

• Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.

  PMID 38322112 · PMC10846924 · International journal of clinical practice · 2024 · 8 claims · 8 setups

  Has reproduction · 71

  AML cases can be categorized into two distinct PANRG (PANoptosis-related gene) clusters with differentially expressed prognostic genes (PRDEGs)

  aml hovon cancer tcga bulk consensus machine

• M6A-mediated molecular patterns and tumor microenvironment infiltration characterization in nasopharyngeal carcinoma.

  PMID 38532632 · PMC10978033 · Cancer biology & therapy · 2024 · 8 claims · 8 setups

  Has reproduction · 76

  NPC patients can be divided into two distinct m6A-related molecular subclasses based on prognostic m6A regulator expression

  npc gse102349 clinical expression ssgsea cibersort

• Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.

  PMID 39856156 · PMC11760357 · Scientific reports · 2025 · 8 claims · 8 setups

  Has reproduction · 83

  Ten multiomics clustering algorithms identify two distinct lactylation cancer subtypes (CS1 and CS2) in LUAD

  tcga gse13213 gse31210 multiomics closest ssgsea

• Assessment tool based on fatty acid metabolic signatures for predicting the prognosis and treatment response in bladder cancer.

  PMID 38076064 · PMC10703629 · Heliyon · 2023 · 8 claims · 8 setups

  Has reproduction · 71

  Consensus clustering of prognosis-related fatty acid metabolism genes (FAMGs) identifies three molecular subtypes of BLCA (FAMC1, FAMC2, FAMC3) with distinct prognoses and tumor microenvironments

  tcga-blca famc1-3 differentially gse32894 bulk consensus gene

• Identification of Cell Subpopulation-Specific Driver Genes Reveals Ideal Candidates for Renal Cell Carcinoma Immunotherapy.

  PMID 42074110 · PMC13115843 · International journal of molecular sciences · 2026 · 8 claims · 8 setups

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  25 immune-related candidate driver genes were identified from tumor, myeloid, and lymphoid cell gene regulatory networks (GRNs) using SCENIC and topological Q statistics.

  kidney lymphoid rcc tcga-kirc single-cell scenic genome-wide

• Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage.

  PMID 36438795 · PMC9685413 · Frontiers in pharmacology · 2022 · 8 claims · 8 setups

  Has reproduction · 80

  A neutrophil-related co-expression gene module (blue module) is significantly associated with aSAH occurrence

  peripheral genes overlapping neutrophil-related microarray weighted kegg

• 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