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).

• 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

• Topological approximate Bayesian computation for parameter inference of an angiogenesis model.

  PMID 35191485 · PMC9048691 · Bioinformatics (Oxford, England) · 2022 · 7 claims · 3 setups

  Has reproduction · 100

  TDA summary statistics can be combined with ABC to infer parameters (ρ, χ) of the Anderson–Chaplain angiogenesis model

  square simplicial simulated computational persistent approximate

• Filtering high-throughput protein-protein interaction data using a combination of genomic features.

  PMID 15833142 · PMC1127019 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  A combination of three genomic features (interacting Pfam domains, GO annotations, sequence homology) using naive Bayesian networks predicts true protein-protein interactions with high sensitivity and good specificity.

  saccharomyces bank caenorhabditis homo yeast mass naive

• InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale.

  PMID 17868464 · PMC2375030 · Genome biology · 2007 · 8 claims · 8 setups

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  InSite predicts protein-pair-specific binding motifs ('Motif M on protein A binds to protein B') by integrating heterogeneous PPI and motif-motif interaction evidence within a Bayesian network trained by EM

  saccharomyces homo bank computational yeast tandem

• Adaptations to climate in candidate genes for common metabolic disorders.

  PMID 18282109 · PMC2242814 · PLoS genetics · 2008 · 8 claims · 7 setups

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  A network-based bioinformatics approach (Molecular Triangulation) was used to select 82 candidate genes belonging to the core subnetwork of metabolic syndrome phenotypes.

  individuals population genic compiled snp spearman bayesian

• Discovery and hypothesis generation through bioinformatics.

  PMID 16522224 · PMC1431734 · Genome biology · 2006 · 8 claims · 8 setups

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  Bioinformatics should be used as a tool for discovery and hypothesis generation, not merely to manage biological data

  genome chemokine gene-expression proteins genome-wide phylogenetic microarray