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).

• Proteomics as a tool for biomarker discovery.

  PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups

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  A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention

  serum laser ovarian seldi-tof two-dimensional gene

• The use of laser capture microscopy in proteomics research--a review.

  PMID 15502248 · PMC3839334 · Disease markers · 2004 · 8 claims · 8 setups

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  LCM allows purification of specific, histologically defined cell populations from heterogeneous tissue for downstream proteomic analysis

  breast prostate esophageal head maldi-tof automated two-dimensional

• Contribution of oncoproteomics to cancer biomarker discovery.

  PMID 17407558 · PMC1852117 · Molecular cancer · 2007 · 6 claims · 8 setups

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  Oncoproteomic biomarker panels (2-DE/MS-based) show higher sensitivity and specificity than currently used single tumor markers across multiple cancer types (Table 1)

  serum bladder nipple colorectal 2-de isotope-coded immunoblotting

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial