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).

• 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.

  ctrpv2 ccle beataml2 pdx_bruna viability drug pdx

• Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.

  PMID 39754813 · PMC11754497 · Translational oncology · 2025 · 6 claims · 8 setups

  Has reproduction · 78

  A consensus WGCNA approach combining matched tumor-organoid and independent organoid drug-response expression data identifies gene modules and hub genes predictive of 5-FU chemotherapy response

  colorectal matched combined expression microarray rna-seq consensus

• GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.

  PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups

  Has reproduction · 78

  GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.

  clinical tuberculosis registered whole-genome targeted retraining

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A machine-learning (Random Forest) approach trained on transposon insertion features can predict gene essentiality genome-wide in yeast species

  saccharomyces schizosaccharomyces candida computational transposon random

• Identification of phenotype-specific networks from paired gene expression-cell shape imaging data.

  PMID 35197309 · PMC8997347 · Genome research · 2022 · 8 claims · 8 setups

  Has reproduction · 100

  WGCNA-derived gene coexpression modules from breast cancer cell line RNA-seq data correlate significantly with specific cell-shape features

  breast same gene identified bulk high-content regulon