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).

• Correlation between KIT expression and KIT mutation in melanoma: a study of 173 cases with emphasis on the acral-lentiginous/mucosal type.

  PMID 19718013 · PMC4120323 · Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2009 · 8 claims · 2 setups

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  Immunohistochemical KIT expression is significantly associated with KIT mutation status in acral lentiginous/mucosal melanoma

  melanoma immunohistochemistry pcr

• Mitochondrial DNA mutations in renal cell carcinomas revealed no general impact on energy metabolism.

  PMID 16404428 · PMC2361126 · British journal of cancer · 2006 · 6 claims · 5 setups

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  Somatic mtDNA mutations occur in renal cell carcinoma but are infrequent and frequently present at low (below 25%) heteroplasmy levels

  renal dhplc direct pcr-restriction

• Mutant, wild type, or overall p53 expression: freedom from clinical progression in tumours of astrocytic lineage.

  PMID 15494720 · PMC2409947 · British journal of cancer · 2004 · 8 claims · 7 setups

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  Significant overexpression of p53 protein was found in 48% of 74 astrocytic tumours

  archival subset recombinant same immunohistochemistry antibody cytokeratin

• Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.

  PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups

  Has reproduction · 71

  Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.

  breast colorectal brca representative gene comparative multi-omic

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain