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).

• Testing groups of genomic locations for enrichment in disease loci using linkage scan data: a method for hypothesis testing.

  PMID 16848972 · PMC3525155 · Human genomics · 2006 · 8 claims · 2 setups

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  A method testing enrichment of a group of genomic locations for disease loci by comparing the average NPL score of the group to a null distribution from randomly drawn groups of equal size

  simulated pedigrees simulated real

• Calibrating the performance of SNP arrays for whole-genome association studies.

  PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups

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  Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.

  american liver simulated hapmap snp gene simulation-based

• Accuracy of predicting the genetic risk of disease using a genome-wide approach.

  PMID 18852893 · PMC2561058 · PloS one · 2008 · 8 claims · 4 setups

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  Deterministic equations can predict the accuracy (r_gĝ) of genome-wide genetic risk/value prediction for continuous, dichotomous, and case-control study designs.

  simulated stochastic

• 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

• Whole genome association mapping by incompatibilities and local perfect phylogenies.

  PMID 17042942 · PMC1624851 · BMC bioinformatics · 2006 · 8 claims · 8 setups

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  Blossoc scores the perfect phylogenetic tree spanning the largest compatible region around each marker as a decision tree for case/control status to detect association

  coalescent-simulated artificial empirical same perfect-phylogeny hapminer haplotype

• Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy.

  PMID 16984653 · PMC1618409 · BMC bioinformatics · 2006 · 8 claims · 6 setups

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  The proposed feature set outperforms existing published feature sets for predicting effects of amino acid substitutions

  coli bacteriophage lac proteins svm simulated pearson

• Selecting additional tag SNPs for tolerating missing data in genotyping.

  PMID 16259642 · PMC1316880 · BMC bioinformatics · 2005 · 7 claims · 6 setups

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  There exists a subset of SNPs (robust tag SNPs) that can distinguish all distinct haplotypes even when up to m SNPs are missing

  simulated hudson's chromosome robust

• Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies.

  PMID 18654633 · PMC2464715 · PLoS genetics · 2008 · 8 claims · 5 setups

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  A Bayesian-inspired penalised maximum likelihood stochastic search method can simultaneously analyse all SNPs (up to 500K) from a GWA study in a few hours on a desktop workstation

  fregene-simulated 80k-snp 480k 192k simulated null whole-genome

• A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis.

  PMID 18667089 · PMC2533022 · BMC genomics · 2008 · 7 claims · 2 setups

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  HFCC is a method/software for genome-wide epistasis detection using case-control multi-locus association analysis, combining a fast computing algorithm with flexibility to test a variety of epistatic models.

  blood-derived simulated genome-wide simulation-based

• Evolutionary algorithms for the selection of single nucleotide polymorphisms.

  PMID 12875658 · PMC183839 · BMC bioinformatics · 2003 · 8 claims · 3 setups

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  Evolutionary algorithms are well suited to multiobjective optimization problems with large, intractable search spaces such as SNP selection, unlike exact methods (exhaustive enumeration) or single-objective search techniques (tabu search, simulated annealing).

  simulated mhc evolutionary multiobjective

• RADAR: differential analysis of MeRIP-seq data with a random effect model.

  PMID 31870409 · PMC6927177 · Genome biology · 2019 · 8 claims · 6 setups

  Has reproduction · 10

  RADAR is a novel analytical tool for differential methylation analysis of MeRIP-seq data combining gene-level INPUT normalization with a Poisson random effect model.

  simulated fallopian pancreatic liver merip-seq m6a-merip-seq pca

• POCUS: mining genomic sequence annotation to predict disease genes.

  PMID 14611661 · PMC329128 · Genome biology · 2003 · 8 claims · 6 setups

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  Genes predisposing to the same disease tend to share functional annotation IDs (GO/InterPro) more than expected by chance

  omim genome disease comparative pocus expression-id

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray

• On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve.

  PMID 18076765 · PMC2211327 · BMC bioinformatics · 2007 · 8 claims · 4 setups

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  The TGDR-AUC algorithm regularizes the empirical AUC by replacing the non-differentiable 0-1 loss with a smooth sigmoid surrogate function and applies constrained threshold gradient descent regularization

  simulated serum preprocessed simulation mass high-resolution

• 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

• 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

• What can genome-wide association studies tell us about the genetics of common disease?

  PMID 18454206 · PMC2323402 · PLoS genetics · 2008 · 8 claims · 4 setups

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  Apparent patterns of common, low-effect disease-associated alleles largely reflect statistical power of studies rather than the true underlying distribution of disease variants

  case gwa simulated literature cochran-armitage computer

• 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

• A simple and efficient algorithm for genome-wide homozygosity analysis in disease.

  PMID 19756043 · PMC2758715 · Molecular systems biology · 2009 · 8 claims · 4 setups

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  A genome-wide AH analysis (GAHA) algorithm can identify disease-associated loci by comparing frequencies of homozygous segments between cases and controls using a z-statistic proportion test

  unrelated simulated selected genes genome-wide statistical logistic

• A statistical model to identify differentially expressed proteins in 2D PAGE gels.

  PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups

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  A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.

  plasma simulated page simulated