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 · 50
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
A 186-gene signature derived from six GEO transcriptomic datasets predicts nCRT response in LARC with AUC 0.80 in cross-validation
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Has reproduction · 100
miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.
PMID 34637468 · PMC8509996 · PloS one · 2021 · 7 claims · 6 setups
RBPs beyond Drosha/DGCR8/Dicer are involved in regulating miRNA biogenesis and explain its spatio-temporal nature
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Full-text index only
Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data.
PMID 19704920 · PMC2688763 · Journal of biomedicine & biotechnology · 2009 · 8 claims · 3 setups
Kernel-based methods (e.g., SVM) can capture nonlinear dose-volume interactions relevant to predicting radiation pneumonitis
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Has reproduction · 71
Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.
PMID 34421903 · PMC8375662 · Frontiers in immunology · 2021 · 8 claims · 8 setups
TB patients show substantial individual variability in the intensity of hallmark IFN responses, as well as in complement system, metabolic, and other pathway responses.
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Has reproduction · 90
A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel.
PMID 35619722 · PMC9128066 · Frontiers in immunology · 2022 · 6 claims · 6 setups
A random forest model trained solely on B-HOT panel genes (B-HOT Model) accurately classifies kidney transplant biopsies as NR, ABMR, or TCMR.