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).

• Identification of novel markers for liver fibrosis in HIV/hepatitis C virus coinfected individuals using genomics-based approach.

  PMID 18614866 · PMC2654216 · AIDS (London, England) · 2008 · 8 claims · 6 setups

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  An 8-marker model combining six serum markers, age, and ART experience predicts liver fibrosis stage with an AUROC of 0.904.

  pbmcs liver serum blood microarray liver serum

• DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues.

  PMID 38600112 · PMC11006913 · Nature communications · 2024 · 8 claims · 5 setups

  Has reproduction · 93

  Many of the 92 assayed HD missense variants alter DNA binding affinity and/or specificity compared to their corresponding reference alleles

  homeodomain hoxd13 cerevisiae amino universal chip-seq electrophoretic

• The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.

  PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 7 claims · 7 setups

  Has reproduction · 50

  Most published adult/other-cohort sepsis gene signatures have limited utility for infant sepsis; only 2 of 7 achieved >80% accuracy in infants

  infant merged individual pairwise whole-blood coconut gene-signature

• Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

  PMID 41953002 · PMC13053772 · iScience · 2026 · 7 claims · 8 setups

  Has reproduction · 78

  An integrated framework of bioinformatics, machine learning, and ΔG clustering can prioritize PAHs for AD-associated neurotoxicity.

  proteins microarray ad-associated pahs target differential wgcna

• A robust data scaling algorithm to improve classification accuracies in biomedical data.

  PMID 27612635 · PMC5016890 · BMC bioinformatics · 2016 · 8 claims · 2 setups

  Has reproduction · 87

  Models trained on data scaled by the GL algorithm outperform models trained on data scaled by the Min-max or Z-score algorithms across 16 binary classification tasks, measured by AUROC and percentage of correct classification

  biomedical gene binary classification