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).

• A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145.

  PMID 17939873 · PMC2222656 · BMC bioinformatics · 2007 · 8 claims · 4 setups

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  Yu et al.'s original comparison ran RJaCGH's MCMC sampler for a severely insufficient number of iterations (50 burn-in, 500 total)

  simulated same mcmc-based direct original

• A statistical model to identify differentially expressed proteins in 2D PAGE gels.

  PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups

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  A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.

  plasma simulated page simulated

• CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

  PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 8 setups

  Has reproduction · 42

  CanCellCap, a multi-domain learning framework integrating domain adversarial learning and Mixture of Experts, identifies cancer cells across all tissues, cancers, and sequencing platforms by extracting tissue-common and tissue-specific gene expression patterns.

  testing datasets tisch2 prostate scrna-seq simulated spatial

• CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data.

  PMID 17962311 · PMC2238989 · Nucleic acids research · 2008 · 8 claims · 5 setups

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  CEBS is a public repository that integrates study design, timeline, clinical chemistry and histopathology data with microarray and proteomics data

  subcellular laboratory cebs microarray gel clinical