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).

• Sex differences in cancer risk among germline p53 mutation carriers.

  PMID 15280910 · PMC2409855 · British journal of cancer · 2004 · 6 claims · 3 setups

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  Cancer risk in germline p53 mutation carriers differs by sex, with females at higher risk than males in adulthood, was first reported by Chompret et al 2000, three years before a confirmatory study by Hwang et al 2003 claimed similar findings without citing the earlier work.

  children first-degree p53 germline family-based

• An OMICs-based meta-analysis to support infection state stratification.

  PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups

  Has reproduction · 44

  Multi-class machine learning models built from cross-platform microarray meta-analysis can distinguish bacterial, viral and no-infection states with high accuracy (best model: 93% bacterial, 89% viral correct).

  blood merged affymetrix-optimized gene feature out-of-sample

• Inferring human colonization history using a copying model.

  PMID 18497854 · PMC2367454 · PLoS genetics · 2008 · 8 claims · 6 setups

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  A copying-model approach using SNP haplotype sharing can infer both the order of population founding and the donor populations contributing ancestry to each new population.

  simulated populations coalescent snp ascertainment

• Understanding genetic epidemiologic association studies Part 1: fundamentals.

  PMID 19962167 · PMC2843757 · Surgery · 2010 · 8 claims · 3 setups

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  Genetic epidemiology aims to establish whether a disease has a genetic component while accounting for environmental influences.

  familial study genome-wide candidate high-throughput

• A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.

  PMID 19772600 · PMC2765429 · Journal of translational medicine · 2009 · 7 claims · 3 setups

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  The naive Bayes model with the wrapper-based feature selection approach performed best among all predictive models tested for distinguishing CFS from controls.

  subjects naive svm c4.5

• GenBank.

  PMID 18940867 · PMC2686462 · Nucleic acids research · 2009 · 8 claims · 4 setups

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  GenBank is a comprehensive public database of nucleotide sequences with bibliographic and biological annotation, growing exponentially with a current doubling time of ~30 months.

  newly sequences direct randomly blast vector sequence

• PulmonDB: a curated lung disease gene expression database.

  PMID 31949184 · PMC6965635 · Scientific reports · 2020 · 6 claims · 6 setups

  Has reproduction · 53

  PulmonDB is a curated, web-based gene expression database and R package integrating microarray and RNA-seq data for COPD and IPF with manually curated controlled-vocabulary annotation.

  lung ipf copd curated hierarchical differential

• Enlarged parietal foramina caused by mutations in the homeobox genes ALX4 and MSX2: from genotype to phenotype.

  PMID 16319823 · PMC1477589 · European journal of human genetics : EJHG · 2006 · 7 claims · 8 setups

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  ALX4 and MSX2 mutations contribute approximately equally to PFM/CB and cause skull defects that are usually clinically indistinguishable

  pfm selected point-mutation-negative family dhplc bidirectional multiplex

• 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

• Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.

  PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups

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  A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction

  simulated diffuse simulation cdna