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).
-
Full-text index only
Predictive genomics of cardioembolic stroke.
PMID 19064790 · PMC2752697 · Stroke · 2009 · 8 claims · 4 setups
A Bayesian network multivariate model achieves 86% predictive accuracy (AUC) for cardioembolic stroke on fitted values
-
Has reproduction · 89
Identification of potential therapeutic targets for nonischemic cardiomyopathy in European ancestry: an integrated multiomics analysis.
PMID 39267096 · PMC11396958 · Cardiovascular diabetology · 2024 · 8 claims · 7 setups
Two-sample MR analysis identified 255 circulating plasma proteins associated with NISCM
-
Has reproduction · 64
Integrated multi-omics analysis combined with clinical validation reveals that HLA-DRB5 and ODAPH are causal risk genes for keratoconus.
PMID 41803193 · PMC13179358 · Scientific reports · 2026 · 7 claims · 8 setups
HLA-DRB5 and ODAPH are causal risk genes for keratoconus, supported by SMR and Bayesian colocalization (HLA-DRB5 PP4=0.844, SMR p=0.001, OR=1.768; ODAPH PP4=1.0, SMR p=0.013, OR=202.851).
-
Full-text index only
VEGF, FGF1, FGF2 and EGF gene polymorphisms and psoriatic arthritis.
PMID 17204151 · PMC1781940 · BMC musculoskeletal disorders · 2007 · 7 claims · 5 setups
The T allele of VEGF +936 (rs3025039) is significantly less frequent in PsA cases than in controls, suggesting a protective effect against PsA.
-
Full-text index only
Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
-
Full-text index only
Adaptations to climate in candidate genes for common metabolic disorders.
PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups
A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.