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).
-
Has reproduction · 76
WikiPathways App for Cytoscape: Making biological pathways amenable to network analysis and visualization.
PMID 25254103 · PMC4168754 · F1000Research · 2014 · 8 claims · 7 setups
The open-source WikiPathways app for Cytoscape imports biological pathways from WikiPathways for data visualization and network analysis.
-
Has reproduction
Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway.
PMID 40699865 · PMC12191508 · Current issues in molecular biology · 2025 · 8 claims · 8 setups
The coronavirus pathogenesis pathway is activated in SARS-CoV-2-infected iPSC-derived cardiac cells and in SARS-CoV/SARS-CoV-2-infected LUAD cells
-
Has reproduction · 71
Transcriptomic Study on the Lungs of Broilers with Ascites Syndrome.
PMID 36611783 · PMC9817706 · Animals : an open access journal from MDPI · 2023 · 8 claims · 6 setups
1442 genes were differentially expressed in AS broiler lung vs normal lung (614 up-regulated, 828 down-regulated)
-
Has reproduction · 78
Spns1-dependent endocardial lysosomal function drives valve morphogenesis through Notch1-signaling.
PMID 39720516 · PMC11667069 · iScience · 2024 · 7 claims · 8 setups
Autophagosomal, autolysosomal, and lysosomal vesicles significantly accumulate in the atrioventricular canal (AVC) and outflow tract (OFT)/bulboventricular regions and their developing valves during zebrafish heart development.
-
Full-text index only
Cardiovascular genetic medicine: genomic assessment of prognosis and diagnosis in patients with cardiomyopathy and heart failure.
PMID 20559924 · PMC4745893 · Journal of cardiovascular translational research · 2008 · 8 claims · 6 setups
Molecular signature analysis (MSA) uses machine-learning/classification methods (e.g., PAM/nearest shrunken centroids) on gene expression patterns to classify samples by phenotype for diagnosis, prognosis, or therapy response.