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
Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases.
PMID 20019805 · PMC2787626 · PLoS computational biology · 2009 · 8 claims · 8 setups
A novel semi-parametric meta-analysis method (based on a gene-centric Glass's d effect size) outperforms existing parametric and non-parametric meta-analysis methods at identifying functionally coherent gene pairs across species.
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Computational verification of protein-protein interactions by orthologous co-expression.
PMID 15740634 · PMC555590 · BMC bioinformatics · 2005 · 7 claims · 8 setups
Co-expression of orthologous protein pairs across multiple species can verify/predict S. cerevisiae PPIs with better performance than S. cerevisiae co-expression alone.
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Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.
PMID 19997623 · PMC2780352 · PLoS genetics · 2009 · 8 claims · 6 setups
Functionally associated gene modules, not individual genes, underlie CAD development and can be identified via multi-organ expression clustering
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Has reproduction
Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities.
PMID 35922433 · PMC9349177 · Nature communications · 2022 · 8 claims · 7 setups
Genome-wide association of six CMR-derived aortic traits in up to 32,590 UK Biobank participants identifies 102 loci (including 27 novel associations) for aortic distensibility and area.
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Has reproduction · 85
Single-Cell Differential Network Analysis with Sparse Bayesian Factor Models.
PMID 35186014 · PMC8855158 · Frontiers in genetics · 2021 · 8 claims · 2 setups
A hierarchical Bayesian factor model using treatment-dependent latent factor loadings can construct gene co-expression networks from scRNA-seq data and identify differences in network structure between two (or more) biological conditions.
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Has reproduction · 83
Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.
PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups
Twenty-two genes lie at the intersection of AFB1-predicted targets and breast cancer-associated co-expression modules/DEGs