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).

• Predicting candidate genes for human deafness disorders: a bioinformatics approach.

  PMID 16854223 · PMC1564145 · BMC genomics · 2006 · 8 claims · 4 setups

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  A bioinformatic approach combining expression databases and protein interaction data narrows ~2400 candidate genes across deafness loci to a manageable set of candidates.

  genomic developing proteins positional expression protein-protein

• Revealing potential interfering genes between abdominal aortic aneurysm and periodontitis through machine learning and bioinformatics analysis.

  PMID 40857330 · PMC12380325 · PloS one · 2025 · 6 claims · 8 setups

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  90 interacting genes were identified at the intersection of AAA DEGs and periodontitis WGCNA module genes

  abdominal gingival overlapping interacting microarray weighted kegg

• Identification of common genetic characteristics of rheumatoid arthritis and major depressive disorder by bioinformatics analysis and machine learning.

  PMID 37415981 · PMC10320004 · Frontiers in immunology · 2023 · 7 claims · 8 setups

  Has reproduction · 58

  EAF1, SDCBP and RNF19B are common genetic characteristics (hub genes) shared by RA and MDD

  pbmc intersected candidate wgcna differential kegg

• Genomics research and malaria control: great expectations.

  PMID 14624242 · PMC261879 · PLoS biology · 2003 · 8 claims · 8 setups

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  Genomics research on humans, P. falciparum, and An. gambiae holds great promise for developing new drugs, vaccines, diagnostics, and vector control tools for malaria.

  plasmodium anopheles malaria whole-genome computational microarray

• Improvements to cardiovascular gene ontology.

  PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups

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  Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.

  coronary phospholamban mammalian lines gene expression large-scale