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).

• Immersive virtual environment technology: a promising tool for future social and behavioral genomics research and practice.

  PMID 20183376 · PMC2829714 · Health communication · 2009 · 8 claims · 4 setups

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  IVET allows researchers to simultaneously maintain high experimental control and high mundane realism, unlike traditional research settings where these trade off against each other.

  participants students ivet virtual ivet cybersickness

• 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

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  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

  simulated simulation-based simulated

• Revealing the critical state and identifying individualized dynamic network biomarker for type 2 diabetes through advanced analysis methods on individual basis.

  PMID 39890881 · PMC11785715 · Scientific reports · 2025 · 8 claims · 5 setups

  Has reproduction · 75

  sJSD, NIG, and TNFE methods can detect critical states/tipping points before disease deterioration using only a single sample

  simulated adipose gastrocnemius dnb numerical microarray protein-protein

• Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

  PMID 19761607 · PMC2759961 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  2LOmb performs an omnibus permutation test on ensembles of two-locus analyses via a four-step algorithm (two-locus analysis, permutation test, global p-value determination, progressive ensemble search)

  simulated same snp type two-locus 2lomb benchmark

• Screening large-scale association study data: exploiting interactions using random forests.

  PMID 15588316 · PMC545646 · BMC genetics · 2004 · 7 claims · 3 setups

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  Random forest importance measure significantly outperforms the Fisher Exact test as a screening tool when risk SNPs interact.

  simulated same simulation random fisher

• Application of two machine learning algorithms to genetic association studies in the presence of covariates.

  PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups

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  The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).

  simulated cohort simulation applied

• The use of edge-betweenness clustering to investigate biological function in protein interaction networks.

  PMID 15740614 · PMC555937 · BMC bioinformatics · 2005 · 8 claims · 7 setups

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  Edge-Betweenness clustering separates protein interaction graphs into subgraphs whose GO term distributions show significant correlations, revealing biologically meaningful functional modules.

  interaction yeast edge-betweenness chi-squared robustness

• Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.

  PMID 18598366 · PMC2474618 · BMC bioinformatics · 2008 · 7 claims · 6 setups

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  Experimentally measured protein-protein interaction sub-networks are not random samples of their parent networks.

  yeast drosophila networks dppi reanalysis computer repeated

• 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

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  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.

  bxd simulated subset populations genome-wide simulation genotype-phenotype

• Identification of gene interactions associated with disease from gene expression data using synergy networks.

  PMID 18234101 · PMC2258206 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Synergy of a gene pair with respect to disease, defined as I(G1,G2;C) - [I(G1;C)+I(G2;C)], identifies gene pairs that interact cooperatively with respect to a phenotype rather than independently.

  prostate simulated microarray simulated permutation

• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists.

  PMID 17784955 · PMC2375021 · Genome biology · 2007 · 8 claims · 6 setups

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  Gene-gene functional similarity can be measured using kappa statistics applied to a binary gene-annotation-term matrix built from 14 annotation categories.

  genome protein-protein genes artificial kappa clustering gene

• Heterogeneity and Differentiation Trajectories of Infiltrating CD8+ T Cells in Lung Adenocarcinoma.

  PMID 36358600 · PMC9658355 · Cancers · 2022 · 7 claims · 8 setups

  Has reproduction · 67

  Infiltrating CD8+ T cells in LUAD can be divided into ten transcriptionally distinct subsets: eight cytotoxic (CTL) subsets, one naive-like (NTL) subset, and one exhausted (ETL) subset.

  luad tcga cd8+ degs single-cell cibersort survival

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene