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
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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Has reproduction · 23
Partial correlation network analysis identifies coordinated gene expression within a regional cluster of COPD genome-wide association signals.
PMID 39418301 · PMC11521246 · PLoS computational biology · 2024 · 7 claims · 4 setups
COPD GWAS loci are more spatially clustered across the genome than expected by chance, with significant enrichment on chromosome 4q.
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Has reproduction · 67
Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.
PMID 34680414 · PMC8533457 · Biomedicines · 2021 · 7 claims · 8 setups
A set of 15 TFs was identified as sepsis-specific master regulators of pediatric sepsis, dividing into two non-overlapping clusters.
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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 · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.