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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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides
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[Research progress in SELDI-TOF MS and its clinical applications].
PMID 17168305 · PMC7148935 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · 2006 · 4 claims · 4 setups
Proteinchip profiling based on SELDI-TOF MS is a powerful and innovative proteomic technology for biomarker discovery and diagnostic/prognostic assay development.
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Mutations of the beta- and gamma-catenin genes are uncommon in human lung, breast, kidney, cervical and ovarian carcinomas.
PMID 11437403 · PMC2363927 · British journal of cancer · 2001 · 7 claims · 4 setups
β-catenin and γ-catenin gene mutations are uncommon in human lung, breast, kidney, cervical and ovarian carcinomas
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A European focus on proteomics.
PMID 15128441 · PMC416463 · Genome biology · 2004 · 8 claims · 8 setups
MALDI-MS and ESI-MS are complementary techniques that identify overlapping but distinct subsets of proteins