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).

• Proneural-mesenchymal antagonism dominates the patterns of phenotypic heterogeneity in glioblastoma.

  PMID 38433919 · PMC10905000 · iScience · 2024 · 8 claims · 8 setups

  Has reproduction · 100

  The four proposed GBM molecular subtypes (Proneural, Neural, Classical, Mesenchymal / NPC-like, OPC-like, AC-like, MES-like) are not mutually exclusive or independent of one another

  scrna-seq tcga-gbm gse131928 tumor gene pairwise principal

• Emergent dynamics of underlying regulatory network links EMT and androgen receptor-dependent resistance in prostate cancer.

  PMID 36851919 · PMC9957767 · Computational and structural biotechnology journal · 2023 · 8 claims · 7 setups

  Has reproduction · 78

  Simulations of the EMT-AR crosstalk network reveal four possible phenotypes: epithelial-sensitive (ES), epithelial-resistant (ER), mesenchymal-resistant (MR), and mesenchymal-sensitive (MS), with MS occurring rarely

  gene racipe clinical tcga racipe influence principal

• 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