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).

• An OMICs-based meta-analysis to support infection state stratification.

  PMID 33560295 · PMC8388022 · Bioinformatics (Oxford, England) · 2021 · 7 claims · 6 setups

  Has reproduction · 44

  Multi-class Random Forest models built from meta-analyzed blood gene expression data can predict infection state (bacterial/viral/none) with high accuracy, correctly classifying 93% of bacterial and 89% of viral samples in the best model.

  blood merged affymetrix-trained microarray random gene

• DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification.

  PMID 42152108 · PMC13185202 · Genome medicine · 2026 · 8 claims · 5 setups

  Full-text index only

  Relatively simple ML models (logistic regression) outperform complex algorithms such as deep neural networks for methylation-based cancer classification

  validation cns healthy genes methylation copy-number gene-set

• A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.

  PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups

  Full-text index only

  Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.

  breast preprocessed microarray two-color perturbation

• Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.

  PMID 41749284 · PMC13040970 · BMC medicine · 2026 · 8 claims · 7 setups

  Full-text index only

  A 75-gene HfRI signature predicts high-frequency recurrence (≥2 recurrences) in NMIBC patients

  nmibc uromol2021 bulk microarray rna-seq

• A comparative study of techniques for differential expression analysis on RNA-Seq data.

  PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups

  Has reproduction · 58

  edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.

  brain neurospheres lymphoblastoid simulation single-end paired-end rna-seq