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).

• 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

• pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS).

  PMID 31035919 · PMC6489300 · BMC bioinformatics · 2019 · 8 claims · 8 setups

  Has reproduction · 88

  pwrEWAS is a user-friendly tool for comprehensive power estimation for two-group EWAS comparisons using Illumina Human Methylation BeadChip data.

  simulated blood saliva lymphoma semi-parametric methylation

• An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.

  PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups

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  A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.

  lung known leukemia tumor paired-end computational snp

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Indirect genomic effects on survival from gene expression data.

  PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups

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  A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.

  dutch uppsala dlbcl gene gene literature permutation