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).

• Supervised learning-based tagSNP selection for genome-wide disease classifications.

  PMID 18366619 · PMC2386071 · BMC genomics · 2008 · 7 claims · 2 setups

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  SRFA (Supervised Recursive Feature Addition) is a novel feature selection method combining supervised learning and statistical redundancy measures for SNP selection

  micc narac snp

• Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.

  PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 7 setups

  Has reproduction · 83

  A multigene expression biomarker from PBMCs accurately classifies familial breast cancer (FBC) status

  pbmcs utah blood normal microarray svm-rfe svm

• Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data.

  PMID 19704920 · PMC2688763 · Journal of biomedicine & biotechnology · 2009 · 8 claims · 3 setups

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  Kernel-based methods (e.g., SVM) can capture nonlinear dose-volume interactions relevant to predicting radiation pneumonitis

  nsclc inoperable blood retrospective prospective 3-way

• Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1.

  PMID 37583471 · PMC10423927 · Neurobiology of stress · 2023 · 7 claims · 5 setups

  Has reproduction · 66

  Differentially expressed genes in MDD patients are enriched in immune response, inflammatory response, neurodegeneration, and cerebellar atrophy pathways.

  blood transcriptomic postmortem saliva gsea machine differential

• Logical Analysis of Data (LAD) model for the early diagnosis of acute ischemic stroke.

  PMID 18616825 · PMC2492849 · BMC medical informatics and decision making · 2008 · 7 claims · 5 setups

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  An LAD classification model built from a support-set of 3 peptide peaks can distinguish stroke patients from controls with 75% accuracy on an independent validation set

  plasma discretized seldi-tof serum logical

• 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