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
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
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.
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Has reproduction · 100
Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.
PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups
S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.
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Has reproduction · 20
Exploring the role and mechanism of Astragalus membranaceus and radix paeoniae rubra in idiopathic pulmonary fibrosis through network pharmacology and experimental validation.
PMID 37666859 · PMC10477296 · Scientific reports · 2023 · 8 claims · 8 setups
AM and RPR (Huangqi-Chishao decoction) alleviate bleomycin-induced pathological lung fibrotic damage in rats
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Has reproduction · 83
A temporal classifier predicts histopathology state and parses acute-chronic phasing in inflammatory bowel disease patients.
PMID 36694043 · PMC9873918 · Communications biology · 2023 · 8 claims · 7 setups
The DSS phenotype-by-time interaction defines parsimonious temporal (dynamic) expression and splicing signatures of acute and chronic colitis distinct from time-specific differential expression.
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Full-text index only
Prodepth: predict residue depth by support vector regression approach from protein sequences only.
PMID 19759917 · PMC2742725 · PloS one · 2009 · 8 claims · 8 setups
Residue depth can be reliably predicted solely from protein primary sequence using support vector regression on sequence-derived features.