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).

• Prediction of prognostic signatures in triple-negative breast cancer based on the differential expression analysis via NanoString nCounter immune panel.

  PMID 33138797 · PMC7607642 · BMC cancer · 2020 · 8 claims · 8 setups

  Has reproduction · 72

  edgeR-based DEG selection is more appropriate for feature selection than Elastic Net when sample sizes are small.

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• Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

  PMID 41854308 · PMC13009810 · Science progress · 2026 · 8 claims · 8 setups

  Full-text index only

  Disulfidptosis and anoikis are consistently identified as the most robust prognostic PCD patterns in colon cancer across six independent machine learning algorithms

  colon coad ssgsea-based machine differential

• Critical evaluation of drug response prediction models with DrEval.

  PMID 42120410 · PMC13168506 · Nature communications · 2026 · 8 claims · 6 setups

  Full-text index only

  DrEval is a living open-source benchmarking pipeline for unbiased, biologically meaningful evaluation of cancer drug response prediction models, integrating standardized preprocessing, hyperparameter tuning, statistically rigorous evaluation, cross-study benchmarks, and ablation studies.

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• Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.

  PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups

  Has reproduction · 50

  A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database

  epithelial-based tcga gdsc muscle-invasive differential co-expression signature

• 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

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• SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.

  PMID 41975540 · PMC13185361 · Genome medicine · 2026 · 8 claims · 8 setups

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  SpaPheno integrates spatial transcriptomics with clinically annotated bulk RNA-seq to identify spatially resolved biomarkers predictive of patient outcomes including survival, tumor stage, and immunotherapy response

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