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 · 100
Exploring Gene Expression Patterns in Alzheimer's Disease Using a Human Microarray Data Meta-Analysis.
PMID 41744654 · PMC12938635 · Biology · 2026 · 6 claims · 7 setups
AD brains show a distinct transcriptomic profile with up-regulation of immune/inflammation genes and down-regulation of synapse/neuronal-signaling genes
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Has reproduction · 50
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
Most published adult/other-cohort sepsis gene signatures have limited utility for infant sepsis; only 2 of 7 achieved >80% accuracy in infants
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Full-text index only
Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer.
PMID 18615426 · PMC2992687 · Proteomics · 2008 · 8 claims · 6 setups
RPPA-measured CA19-9 levels correlate strongly with ELISA-measured levels in the same patient samples
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Expression patterns of cardiac myofilament proteins: genomic and protein analysis of surgical myectomy tissue from patients with obstructive hypertrophic cardiomyopathy.
PMID 19808356 · PMC2765062 · Circulation. Heart failure · 2009 · 8 claims · 4 setups
Myofilament protein levels (MYBPC3 and MYH7) are increased, not decreased, in HCM patients carrying a mutation in either gene compared to healthy heart tissue
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Full-text index only
On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve.
PMID 18076765 · PMC2211327 · BMC bioinformatics · 2007 · 8 claims · 4 setups
The TGDR-AUC algorithm regularizes the empirical AUC by replacing the non-differentiable 0-1 loss with a smooth sigmoid surrogate function and applies constrained threshold gradient descent regularization