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).

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A Hybrid signature combining the NPI with 14 SIS-selected genes was constructed from METABRIC training data

  metabric gse96058 test gene sure cox

• 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

• Integrative transcriptomic and machine learning framework reveals candidate genes and potential mechanisms of aflatoxin B1 exposure in breast cancer.

  PMID 41688730 · PMC12982753 · Scientific reports · 2026 · 7 claims · 8 setups

  Has reproduction · 83

  170 unique human AFB1 targets were identified by merging ChEMBL, SwissTargetPrediction, and PharmMapper predictions

  afb1 breast training candidate computational bulk weighted

• Interpretation of genomic data: questions and answers.

  PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups

  Full-text index only

  The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.

  genetically wound tumor breast gene expression comparative

• An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer immunological prevention.

  PMID 16351756 · PMC1866378 · BMC bioinformatics · 2005 · 8 claims · 6 setups

  Full-text index only

  Meta-analysis of two independent BALB-neuT transcription profiling studies can identify new TAA candidates usable instead of or with Her2

  balb-neut normal breast probe microarray statistical enrichment

• Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq.

  PMID 33441952 · PMC7806779 · Scientific reports · 2021 · 8 claims · 5 setups

  Has reproduction · 47

  CDK12, ERBB2, and CLDN11 are overexpressed in metastatic lymph node gastric cancer and serve as candidate lymph node metastasis marker genes.

  tumour gastric qc-passed single-cell immunofluorescence immunohistochemistry

• CoINcIDE: A framework for discovery of patient subtypes across multiple datasets.

  PMID 26961683 · PMC4784276 · Genome medicine · 2016 · 8 claims · 4 setups

  Has reproduction · 87

  CoINcIDE is a novel framework for discovering patient subtypes across multiple datasets that requires no between-dataset transformations (e.g., batch correction)

  breast ovarian simulated gene consensus simulated

• PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines.

  PMID 34093998 · PMC8142020 · Computational and structural biotechnology journal · 2021 · 6 claims · 8 setups

  Has reproduction · 77

  PredTAD, a Gradient Boosting Machine model using epigenomic and genomic ChIP-seq-derived features plus neighboring-bin information, classifies 10 kb genomic bins as TAD boundary or non-boundary

  mcf10a t47d mcf7 tcga hi-c chip-seq atac-seq

• SMAC, a computational system to link literature, biomedical and expression data.

  PMID 31324861 · PMC6642118 · Scientific reports · 2019 · 8 claims · 8 setups

  Has reproduction · 50

  SMAC is a tool that extracts, prioritises, integrates and analyses biomedical and molecular data according to user-defined terms

  pubmed invasive geo genes semantic computational gene

• Divide and conquer: progress in the molecular stratification of cancer.

  PMID 19718393 · PMC2730607 · Yonsei medical journal · 2009 · 8 claims · 8 setups

  Full-text index only

  Cancers exhibit significant clinical, histopathologic, and molecular heterogeneity between individual patients

  breast nsclc colon early-stage immunohistochemistry gene comparative