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).
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Has reproduction · 49
LRP1 as a potential diagnostic and immunomodulatory target in endometriosis: evidence from multi-omics and single-cell analyses.
PMID 42064072 · PMC13124487 · Frontiers in immunology · 2026 · 8 claims · 8 setups
LRP1 is a hub gene with the highest diagnostic performance among 30 candidate hub genes identified by machine learning
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Has reproduction · 80
Comprehensive analysis of transcriptomics and radiomics revealed the potential of TEDC2 as a diagnostic marker for lung adenocarcinoma.
PMID 39553728 · PMC11569783 · PeerJ · 2024 · 8 claims · 8 setups
WGCNA identified 214 key genes in the blue module most correlated with LUAD
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Full-text index only
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
90 interacting genes were identified at the intersection of AAA DEGs and periodontitis WGCNA module genes
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Has reproduction · 55
Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies.
PMID 34107850 · PMC8806433 · Bioengineered · 2021 · 7 claims · 8 setups
131 robust DEGs (89 upregulated, 42 downregulated) were identified by RRA integration of three vitiligo datasets and are closely associated with melanogenesis and vitiligo development
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Has reproduction · 85
Integration of multi-omics and machine learning strategies identifies immune related candidate biomarkers in inflammation-associated hypertrophic cardiomyopathy.
PMID 41080564 · PMC12510942 · Frontiers in immunology · 2025 · 8 claims · 8 setups
Seven key immune-related genes (RNF165, SNCA, SRGN, MARCO, STEAP4, SIGLEC9, TKT) are associated with HCM by intersecting DEGs with MR-identified eQTLs