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).

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric

• Extraction of human kinase mutations from literature, databases and genotyping studies.

  PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups

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  A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text

  pubmed large labeled swissprot literature supervised comparative

• BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.

  PMID 17202167 · PMC1899097 · Nucleic acids research · 2007 · 7 claims · 6 setups

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  BRENDA is the largest publicly available enzyme information system worldwide, manually curated from primary literature and covering all identified enzymes regardless of source.

  pubmed randomly enzyme full text-mining manual transmembrane

• SMAC, a computational system to link literature, biomedical and expression data.

  PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 7 claims · 6 setups

  Has reproduction · 50

  SMAC is a tool that extracts, prioritises, integrates and analyses biomedical literature and molecular data according to user-defined terms, linking PubMed and GEO.

  pubmed invasive geo cancer semantic computational gene

• Speeding disease gene discovery by sequence based candidate prioritization.

  PMID 15766383 · PMC1274252 · BMC bioinformatics · 2005 · 7 claims · 8 setups

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  Disease genes (OMIM) differ significantly from non-disease genes in sequence-based features including gene/cDNA/protein size, exon number, homolog conservation, secretion signal, 3' UTR length, CpG islands, and distance to nearest gene.

  ensembl training same hgmd comparative machine tenfold

• An analysis of human microRNA and disease associations.

  PMID 18923704 · PMC2559869 · PloS one · 2008 · 8 claims · 8 setups

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  MicroRNAs tend to show similar dysfunctional evidence (both up- or both down-regulated) for diseases within the same disease cluster, and different dysfunctional evidence between different disease clusters.

  literature-derived diseases mirnas mirna literature bipartite mirna

• MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.

  PMID 19758471 · PMC2745589 · BMC bioinformatics · 2009 · 8 claims · 5 setups

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  MtSNPscore, a weighted scoring pipeline combining literature evidence, in silico predictions, and case/control frequency, can prioritize likely pathogenic mtDNA variations

  sporadic mitochondrial reported ataxia mitochondrial functional compensatory