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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Full-text index only
BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules
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Has reproduction · 89
In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age.
PMID 32898168 · PMC7478592 · PLoS biology · 2020 · 8 claims · 8 setups
SARS-CoV-2 infection induces a strong interferon-driven antiviral response in the nasopharynx, with up-regulation of viral sensors, T cell/NK chemokines, and antiviral effectors
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Has reproduction · 87
Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.
PMID 38230570 · PMC10795782 · Cancer biology & therapy · 2024 · 8 claims · 6 setups
NOR-specific and MES-specific gene expression patterns are largely mutually exclusive, exhibiting a teams-like behavior across multiple bulk NB transcriptomic datasets
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Has reproduction · 71
Transcriptome and machine learning analysis of the impact of COVID-19 on mitochondria and multiorgan damage.
PMID 38295140 · PMC10830027 · PloS one · 2024 · 6 claims · 7 setups
Potential cardiac, hepatic, and renal impairments in COVID-19 are associated with ACE2, inflammatory cytokine storms, and mitochondrial pathways.
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.