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).

• Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of development.

  PMID 16800721 · PMC1483910 · PLoS medicine · 2006 · 8 claims · 8 setups

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  Multi-scale genomic similarities exist between four human lung cancer subtypes and the developing mouse lung, and these similarities are prognostically meaningful.

  perfused lung microarray principal wilcoxon

• Expression and mutation analysis of the discoidin domain receptors 1 and 2 in non-small cell lung carcinoma.

  PMID 17299390 · PMC2360060 · British journal of cancer · 2007 · 8 claims · 6 setups

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  DDR1 is significantly upregulated in NSCLC tumour tissue compared with matched normal lung tissue

  nsclc matched lung quantitative pcr genomic

• Prognostic significance of p53 and ras gene abnormalities in lung adenocarcinoma patients with stage I disease after curative resection.

  PMID 7852188 · PMC5919395 · Japanese journal of cancer research : Gann · 1994 · 6 claims · 5 setups

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  Presence of p53 gene abnormalities is associated with shorter disease-free survival in stage I lung adenocarcinoma

  formalin-fixed stage pcr-dgge immunohistochemistry pcr-rflp

• Multiple molecular marker testing (p53, C-Ki-ras, c-erbB-2) improves estimation of prognosis in potentially curative resected non-small cell lung cancer.

  PMID 10945494 · PMC2374666 · British journal of cancer · 2000 · 6 claims · 4 setups

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  Testing 3 molecular markers (c-Ki-ras, p53, c-erbB-2) together improves estimation of prognosis compared to single marker testing and defines low- and high-risk groups for treatment failure in R0-resected NSCLC.

  paired frozen nsclc sscp immunohistochemistry clinical

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc