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).

• Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

  PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups

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  A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments

  seed ad-related retrieved combined protein-protein network-based pubmed

• Network-assisted protein identification and data interpretation in shotgun proteomics.

  PMID 19690572 · PMC2736651 · Molecular systems biology · 2009 · 7 claims · 7 setups

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  Confidently identified proteins in a sample form tightly connected sub-networks in the protein interaction network, with significantly higher clustering coefficients than random or topology-matched random sub-networks.

  yeast organs mammary organ shotgun clique-enrichment microarray

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

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  Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed

  leukemia interactome pubmed-indexed computational microarray yeast literature

• Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.

  PMID 34143800 · PMC8213194 · PloS one · 2021 · 8 claims · 7 setups

  Has reproduction · 75

  306 overlapping DEGs (265 up-regulated, 41 down-regulated) were identified from three independent GEO microarray datasets comparing EOC and adjacent normal ovarian tissue

  eoc analysis overlapping pubmed microarray kegg protein-protein

• FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.

  PMID 17478504 · PMC1933151 · Nucleic acids research · 2007 · 8 claims · 8 setups

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  FatiGO+ is a web-based tool for functional profiling of genome-scale experiments that integrates functional annotation, regulatory motifs and interaction data

  user-supplied gene predicted interactome gene kegg transcription