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).

• Developmental hematopoietic stem cell variation explains clonal hematopoiesis later in life.

  PMID 39592593 · PMC11599844 · Nature communications · 2024 · 8 claims · 2 setups

  Has reproduction · 90

  Weak selection conferred by HSC variation created before birth can reliably yield clonal hematopoiesis later in life, demonstrated via shared prenatal circulation of monozygotic (MZ) twins.

  blood simulated fluctuating single-cell

• A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data.

  PMID 19923232 · PMC2817484 · Nucleic acids research · 2010 · 8 claims · 7 setups

  Full-text index only

  A Perl-based pipeline that BLASTs/BLATs Illumina probe sequences against genomes and transcript databases (RefSeq, UCSC Known Genes, UniGene/GenBank, Ensembl) can classify probes by quality grade (Perfect/Good/Bad/No match) and is applicable across 8 BeadArray platforms and other array types

  maqc hepatocytes japanese illeum microarray dasl sequence

• AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.

  PMID 27082953 · PMC4833304 · PLoS computational biology · 2016 · 7 claims · 6 setups

  Has reproduction · 88

  Sample-sample correlation of transcript abundances is a misleading measure of replicability for assessing differential expression, because it is dominated by gene-specific dynamic ranges rather than condition-dependent variation.

  liver encode publicly co-expressed rna-seq meta-analysis computational

• Using random walks to identify cancer-associated modules in expression data.

  PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups

  Has reproduction

  Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.

  hepatocellular breast sporadic geo gene differential interaction