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).

• 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

• miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles.

  PMID 34637468 · PMC8509996 · PloS one · 2021 · 7 claims · 6 setups

  Has reproduction · 100

  RBPs beyond Drosha/DGCR8/Dicer are involved in regulating miRNA biogenesis and explain its spatio-temporal nature

  tissues computational rbps clip-seq rna-seq srna-seq

• 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

• 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

• Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.

  PMID 15892868 · PMC1175952 · Genome biology · 2005 · 8 claims · 6 setups

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  Two quantitative benchmarks (functional-annotation-based and physical-interaction-based log likelihood ratio scores) can measure relative accuracy of human PPI datasets

  medline annotated interactions consolidated conditional co-citation bayesian

• 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

• Systems biology: where it's at in 2005.

  PMID 16086862 · PMC1273629 · Genome biology · 2005 · 8 claims · 8 setups

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  High-throughput genetic-interaction and physical-interaction maps show only minimal overlap with each other, whereas literature-derived genetic and physical interaction maps share a much greater fraction of edges

  saccharomyces drosophila environmental literature systematic genome-wide

• Identification of potential therapeutic targets for nonischemic cardiomyopathy in European ancestry: an integrated multiomics analysis.

  PMID 39267096 · PMC11396958 · Cardiovascular diabetology · 2024 · 8 claims · 7 setups

  Has reproduction · 89

  Two-sample MR analysis identified 255 circulating plasma proteins associated with NISCM

  european cis-pqtl myocardial geo mendelian bayesian differential

• 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

• Integrated multi-omics analysis combined with clinical validation reveals that HLA-DRB5 and ODAPH are causal risk genes for keratoconus.

  PMID 41803193 · PMC13179358 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 64

  HLA-DRB5 and ODAPH are causal risk genes for keratoconus, supported by SMR and Bayesian colocalization (HLA-DRB5 PP4=0.844, SMR p=0.001, OR=1.768; ODAPH PP4=1.0, SMR p=0.013, OR=202.851).

  corneal gwas string bulk summary-data two-sample

• Towards the identification of essential genes using targeted genome sequencing and comparative analysis.

  PMID 17052348 · PMC1624830 · BMC genomics · 2006 · 8 claims · 8 setups

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  Phyletic retention (ortholog presence across organisms) is the single most predictive feature of gene essentiality in both E. coli and S. cerevisiae.

  coli cerevisiae comparative machine single-gene

• Genetical genomics: spotlight on QTL hotspots.

  PMID 18949031 · PMC2563687 · PLoS genetics · 2008 · 8 claims · 4 setups

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  Distant eQTL hotspots are rare and difficult to reliably verify across published genetical genomics studies

  adipose saccharomyces genome-wide permutation gene