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

• Glioblastoma stem cells show transcriptionally correlated spatial organization.

  PMID 41577992 · PMC12894897 · Communications biology · 2026 · 8 claims · 5 setups

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  GSCs from different patient samples exhibit diverse, characteristic multicellular spatial patterns in culture (e.g., anisotropic vs isotropic packing, overlapping vs non-overlapping space utilization)

  patient-derived computational matched pooled phase-contrast bulk principal

• 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

• 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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• RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects.

  PMID 41571436 · PMC13060657 · Molecular oncology · 2026 · 7 claims · 5 setups

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  RaMBat achieves a median accuracy of 99% across 13 independent benchmark datasets, significantly outperforming state-of-the-art MB subtyping methods and conventional ML classifiers

  medulloblastoma gse85217 ger microarray bulk intrasample

• AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.

  PMID 41792137 · PMC13087051 · Nature communications · 2026 · 7 claims · 8 setups

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  AMR-GNN, a graph neural network integrating multiple genomic representations (unitigs, SNPs, FCGR) via low-rank multimodal fusion, improves AMR phenotype prediction in P. aeruginosa compared to single-representation baseline models.

  pseudomonas aeruginosa escherichia coli whole-genome elastic convolutional

• Critical evaluation of drug response prediction models with DrEval.

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

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  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.

  ctrpv2 ccle beataml2 pdx_bruna viability drug pdx