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).

• 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

• Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

  PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 5 setups

  Has reproduction · 50

  A 186-gene signature derived from six GEO transcriptomic datasets predicts nCRT response in LARC with AUC 0.80 in cross-validation

  pre-treatment domingo geo bulk bulk external spatial

• A taxonomy of epithelial human cancer and their metastases.

  PMID 20017941 · PMC2806369 · BMC medical genomics · 2009 · 8 claims · 6 setups

  Full-text index only

  Unsupervised hierarchical clustering of 1566 primary epithelial tumors yields large tissue-enriched clusters (breast, colon/GI, lung, ovary, kidney) plus smaller prostate, thyroid-kidney, and mixed clusters

  epithelial tumor metastatic breast microarray gene fisher

• 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 · 6 claims · 8 setups

  Has reproduction

  A deep learning WSI cluster (three-class mini batch K-means on Inception V3 features) is associated with overall survival (P<0.001) and is an independent prognostic predictor (P=0.031) in BLCA.

  tcga-blca blca tcga deep transfer-learning neural-network

• QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data.

  PMID 17341461 · PMC1874617 · Nucleic acids research · 2007 · 8 claims · 7 setups

  Full-text index only

  QuantiSNP (OB-HMM) provides probabilistic quantification of copy number states and significantly improves accuracy of segmental aneuploidy identification and breakpoint mapping relative to existing tools (BeadStudio/Illumina)

  genomic same pseudo-normal artificially snp fish molecular