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).

• Statistical challenges in preprocessing in microarray experiments in cancer.

  PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups

  Full-text index only

  Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset

  lung beer individual outlier expression rank-covariance quality-control

• Curation of over 10 000 transcriptomic studies to enable data reuse.

  PMID 33599246 · PMC7904053 · Database : the journal of biological databases and curation · 2021 · 8 claims · 6 setups

  Has reproduction · 80

  Gemma is a curated database and bioinformatics system that addresses metadata, probe annotation, and expression data inconsistencies in GEO to enable transcriptomic data reuse

  microarray curated geo microarray rna-sequencing probe-to-gene

• Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.

  PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 8 setups

  Has reproduction · 92

  MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved

  mcf-7 breast wgcna top bulk microarray weighted

• Tracing human genetic histories and natural selection with precise local ancestry inference.

  PMID 40379651 · PMC12084304 · Nature communications · 2025 · 7 claims · 7 setups

  Has reproduction · 76

  Orchestra, a two-stage LAI method combining a recombination-distance base layer with a deep learning (convolutional + attention) smoothing module, outperforms RFmix, FLARE and Gnomix in precision and recall across simulated admixture generations.

  1kgp-16pops independent simulated 1kgp simulated population-level local