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).

• scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies.

  PMID 41820391 · PMC13121454 · Nature communications · 2026 · 8 claims · 5 setups

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  scTWAS uses a latent-variable expression-measurement model combined with a moment-based regression to more accurately estimate genetic regulation of gene expression from single-cell data, improving GReX prediction across cell types and datasets

  onek1k-derived onek1k-based immune brain simulated two-sample stage

• 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

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  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

• Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma.

  PMID 34654806 · PMC8519947 · Nature communications · 2021 · 6 claims · 8 setups

  Has reproduction · 100

  A pathway-based super signature from on-treatment samples (PASS-ON) predicts anti-PD1 response with high accuracy (validation AUC 0.85-0.89, combined AUC 0.88) and outperforms existing signatures across all four datasets.

  metastatic pathway bulk gene elastic-net

• 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

  cortex liver clear breast spatial elastic

• Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.

  PMID 41689808 · PMC12925207 · STAR protocols · 2026 · 6 claims · 6 setups

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  scPrediXcan enables cell-type-specific transcriptome-wide association studies (TWAS) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features.

  acinar individual-level geuvadis beta mlp-based personalized elastic-net

• 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