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).

• Microarray analysis: genome-scale hypothesis scanning.

  PMID 14551912 · PMC212694 · PLoS biology · 2003 · 8 claims · 5 setups

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  Microarrays can be used to both test and generate hypotheses, not merely to fish for candidate genes.

  drosophila yeast diffuse breast microarray integrated gene

• 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

• 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

• Identification of PSEN1 and APP gene mutations in Korean patients with early-onset Alzheimer's disease.

  PMID 18437002 · PMC2526428 · Journal of Korean medical science · 2008 · 6 claims · 6 setups

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  Two different PSEN1 mutations (G206S and M233T) were identified in Korean EOAD patients

  genomic blood korean patients direct pcr apoe

• 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

• Biocomputing enters its adolescence.

  PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups

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  A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins

  bank antibody-antigen yeast genome protein-protein empirical integrative