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
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.
-
Full-text index only
Public health genomics approach to type 2 diabetes.
PMID 18971439 · PMC2570384 · Diabetes · 2008 · 7 claims · 3 setups
Combining GWAS-discovered genetic variants provides only weak predictive ability for type 2 diabetes and adds little beyond established clinical risk factors (age, sex, BMI).
-
Full-text index only
Genome-wide prediction of functional gene-gene interactions inferred from patterns of genetic differentiation in mice and men.
PMID 18270580 · PMC2217631 · PloS one · 2008 · 8 claims · 6 setups
Pairs of unlinked SNPs showing excess genetic differentiation (LD in mouse RILs, Fst in human populations) beyond what simulations/coalescent models predict by chance represent candidate functionally interacting (epistatic) gene pairs.
-
Has reproduction · 79
Symbiosis genes show a unique pattern of introgression and selection within a Rhizobium leguminosarum species complex.
PMID 32176601 · PMC7276703 · Microbial genomics · 2020 · 8 claims · 8 setups
196 R. leguminosarum sv. trifolii strains form a five-species complex (gsA-gsE) with generally little recent between-species gene transfer, aside from a few highly mobile genetic regions
-
Has reproduction · 76
Correcting scale distortion in RNA sequencing data.
PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups
Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)
-
Full-text index only
Systems genetics of alcoholism.
PMID 23584748 · PMC3860445 · Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2008 · 8 claims · 8 setups
Alcoholism is a multifactorial disease driven by interacting genetic, social, and environmental factors, with genetics accounting for 50-60% of risk.
-
Has reproduction · 85
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion.
PMID 34844559 · PMC8628418 · BMC genomics · 2021 · 8 claims · 8 setups
scLRTC imputes dropout entries closest to the original expression values on simulated datasets, outperforming other state-of-the-art methods by SSE and PCC.
-
Full-text index only
Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
-
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.
-
Full-text index only
Policy implications of genetic information on regulation under the Clean Air Act: the case of particulate matter and asthmatics.
PMID 16507451 · PMC1392222 · Environmental health perspectives · 2006 · 8 claims · 4 setups
The Clean Air Act mandates protection of sensitive subpopulations, including asthmatics, from air pollution health effects, creating an opening for genetic susceptibility data in regulation.