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).

• Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.

  PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups

  Has reproduction · 48

  Breast cancer samples can be classified into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on Z-score median of Set1 (writer+reader) and Set2 (eraser) gene expression

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• Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.

  PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups

  Has reproduction · 84

  A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts

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• Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets.

  PMID 35901020 · PMC9333302 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 83

  Non-reproducibility is a common problem in biomarker discovery: independently derived biomarker sets for the same phenotype frequently share very few features across studies

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• 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.

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• Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.

  PMID 38254989 · PMC10815467 · Genes · 2024 · 7 claims · 8 setups

  Has reproduction · 85

  High expression of transcription factors FOXA1 and EZH2 in malignant cells at the invasive front plays a key role in driving tumor progression

  breast er+ epithelial malignant scrna-seq spatial copy