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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Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive bioinformatics analysis.
PMID 38987624 · PMC11236978 · Scientific reports · 2024 · 6 claims · 8 setups
Four hub genes (E2F1, GATA3, HDAC5, MSH2) serve as diagnostic biomarkers for VTE in BD with high accuracy (AUC 0.816)
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A metadata approach for clinical data management in translational genomics studies in breast cancer.
PMID 19948017 · PMC3225860 · BMC medical genomics · 2009 · 8 claims · 5 setups
A metadata/CDE-based approach using CancerGrid's semantic web tools enables automatic integration of heterogeneous clinical datasets without loss of original detail
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Identification of Molecular Subtypes of Clear-Cell Renal Cell Carcinoma in Patient-Derived Xenografts Using Multi-Omics.
PMID 40282537 · PMC12026142 · Cancers · 2025 · 8 claims · 7 setups
Each ccRCC PDX resembles one of the human molecular subtypes closely at both the transcript and protein levels.
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Multi-Omic Profiling of T Cell-Mediated Rejection After Kidney Transplantation Reveals B Cell Receptor Repertoire Expansion and Its Prognostic Relevance.
PMID 41467897 · PMC12752722 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026 · 8 claims · 8 setups
The BCR repertoire, particularly the IgG isotype, is significantly expanded in TCMR compared to stable renal function (STA) across independent renal transplant cohorts
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Has reproduction · 68
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.
PMID 35012625 · PMC8743438 · Genome biology · 2022 · 8 claims · 9 setups
GENEVA (Gene Expression Variance Analysis) is a semi-automated framework that mines large-scale public RNA-seq datasets to identify conditions associated with a gene's expression variance