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).

• Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.

  PMID 41732271 · PMC12924738 · iScience · 2026 · 8 claims · 7 setups

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  The eight-gene MLAG signature outperforms 100 previously published prognostic models across 12 independent breast cancer cohorts

  tcga-brca senescent normal single-cell machine univariate gene

• CCL8 as a promising prognostic factor in diffuse large B-cell lymphoma via M2 macrophage interactions: A bioinformatic analysis of the tumor microenvironment.

  PMID 36072582 · PMC9441746 · Frontiers in immunology · 2022 · 8 claims · 8 setups

  Has reproduction · 81

  Higher stromal and ESTIMATE scores are associated with favorable prognosis in DLBCL

  dlbcl ici-related degs ffpe estimate consensus differential

• 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

• 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

• 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

• 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

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.

  PMID 33705981 · PMC9403021 · Genomics, proteomics & bioinformatics · 2021 · 8 claims · 6 setups

  Has reproduction · 79

  TSUNAMI is a freely accessible web-based tool suite that mines gene co-expression network (GCN) modules from public (GEO, TCGA) or user-uploaded numerical omics data and performs downstream gene set enrichment analysis.

  gse17537 36th first gene circos survival

• Development and validation of a gemcitabine sensitivity-related long noncoding RNA signature for predicting the prognosis and subtypes of bladder cancer.

  PMID 41809777 · PMC12968932 · Translational andrology and urology · 2026 · 8 claims · 8 setups

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  A 37-GSRlncRNA prognostic signature stratifies BLCA patients into low- and high-risk groups with significant differences in survival, pathway enrichment, immune infiltration, and mutational profiles

  tcga-blca blca paired wgcna differential machine

• 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

• 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

• 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

• Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.

  PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups

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  DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)

  breast sars serum tumour microarray custom mass

• Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.

  PMID 34382341 · PMC8446556 · Cancer medicine · 2021 · 8 claims · 8 setups

  Has reproduction

  A 10-IRG prognostic signature (BMPR1B, GHR, IL11RA, INHBB, NPR3, OBP2A, PTN, R3HDML, TAC1, TPM2) predicts overall survival in gastric cancer.

  gastric tcga-stad overlapping candidate microarray gene rna-seq

• Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.

  PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 8 claims · 7 setups

  Has reproduction · 53

  A computational framework mapping single-cell Z-score expression to matched patient-level CNV data can identify recurrent, cross-cell-type copy-number-driven expression (dosage) events.

  tnbc independent cng-up breast single-cell gene network

• 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

• 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

• 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

• Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling.

  PMID 19901961 · PMC2820592 · Oncogene · 2010 · 8 claims · 6 setups

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  Unsupervised gene expression clustering identifies 3 reproducible molecular subtypes of LMS (Group I/muscle-enriched, Group II, Group III)

  lms independent soft gene array immunohistochemistry

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk