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).

• Characterization of the linkage disequilibrium structure and identification of tagging-SNPs in five DNA repair genes.

  PMID 16091150 · PMC1208870 · BMC cancer · 2005 · 7 claims · 5 setups

  Full-text index only

  Three of the five DNA repair genes (MRE11A, RAD50, XRCC4) do not conform to a contiguous haplotype block structure; instead SNPs in high LD can be non-contiguous, fitting a more flexible LD group paradigm

  unrelated same haplotype caucasian snp haplotype group

• Identification of succinylation-related genes in bladder cancer: integration of single-cell and transcriptomic data.

  PMID 42220482 · PMC13218921 · Frontiers in immunology · 2026 · 8 claims · 8 setups

  Has reproduction · 78

  KCTD16, CD3D and GSDMB are succinylation-related prognostic genes in BLCA

  paired tcga-blca geo gse135337 bulk single-cell rt-qpcr

• Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer.

  PMID 38066424 · PMC10709847 · BMC bioinformatics · 2023 · 8 claims · 5 setups

  Has reproduction · 83

  CHCT, a hierarchical classification tool, splits classification of 30 cancer types into ten smaller subproblems using a two-tier architecture to classify primary cancer by methylation profile

  cancer clinical training independent methylation upgma random

• 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

  tcga-brca triple-negative ffpe bulk univariate kaplan-meier

• Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.

  PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups

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  The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).

  longitudinal backbone env intra-patient relaxed-clock correlation site-to-site