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
Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling.
PMID 40993300 · PMC12460824 · NPJ digital medicine · 2025 · 8 claims · 7 setups
A ResNet classifier built on a 10-gene metabolic signature distinguishes all thyroid cancer differentiation states with ~92.7% average accuracy.
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Has reproduction · 49
Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.
PMID 40520228 · PMC12162626 · Frontiers in genetics · 2025 · 8 claims · 8 setups
ENTPD1, SERPINA1, and TACSTD2 are potential transcriptomic biomarkers for PTC
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Increasing the number of thyroid lesions classes in microarray analysis improves the relevance of diagnostic markers.
PMID 19893615 · PMC2764086 · PloS one · 2009 · 8 claims · 8 setups
Simultaneous analysis of 347 thyroid samples across 12 histological classes from six datasets improves definition of diagnostic markers compared to prior binary-class studies
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Somatic and germline mutation in GRIM-19, a dual function gene involved in mitochondrial metabolism and cell death, is linked to mitochondrion-rich (Hurthle cell) tumours of the thyroid.
PMID 15841082 · PMC2361763 · British journal of cancer · 2005 · 8 claims · 5 setups
Somatic missense GRIM-19 mutations occur in a subset of sporadic Hürthle cell carcinomas but not in non-Hürthle cell thyroid carcinomas or blood donors
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A statistical framework for consolidating "sibling" probe sets for Affymetrix GeneChip data.
PMID 18435860 · PMC2397416 · BMC genomics · 2008 · 7 claims · 4 setups
A two-way ANOVA model with a treatment x probe-set interaction term can automatically determine whether sibling probe sets for a gene behave similarly (non-significant interaction, consolidate) or differently (significant interaction, treat as independent)