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).
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Has reproduction · 71
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
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
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Has reproduction · 50
Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.
PMID 41550766 · PMC12803930 · iScience · 2026 · 8 claims · 8 setups
A 186-gene signature predictive of nCRT response was derived from integrating six GEO transcriptomic datasets using machine learning.
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Revealing potential interfering genes between abdominal aortic aneurysm and periodontitis through machine learning and bioinformatics analysis.
PMID 40857330 · PMC12380325 · PloS one · 2025 · 6 claims · 8 setups
90 interacting genes were identified at the intersection of AAA DEGs and periodontitis WGCNA module genes
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Has reproduction
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
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.
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The integrated world of functional genomics.
PMID 12537543 · PMC151279 · Genome biology · 2003 · 8 claims · 8 setups
Integrating chromatin immunoprecipitation (promoter-binding) data with expression data reveals the yeast cell-cycle transcriptional regulatory network, including network motifs such as autoregulation, multi-component loops, and feedforward loops.