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).

• 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

• Metagenomic analysis of human diarrhea: viral detection and discovery.

  PMID 18398449 · PMC2290972 · PLoS pathogens · 2008 · 8 claims · 7 setups

  Full-text index only

  Micro-mass sequencing (minimal stool input, minimal purification, ~384 reads/sample) can detect known enteric viruses in diarrhea specimens

  stool divergent extract preparations sequence-independent maximum enzyme

• The biological function of some human transcription factor binding motifs varies with position relative to the transcription start site.

  PMID 18367472 · PMC2377430 · Nucleic acids research · 2008 · 8 claims · 5 setups

  Full-text index only

  1226 eight-letter DNA words show statistically significant positional preferences relative to the TSS across 7914 human promoter regions

  putative nonredundant homo genes computational pssm semantic

• Phylogenetic analysis of RhoGAP domain-containing proteins.

  PMID 17127216 · PMC5054073 · Genomics, proteomics & bioinformatics · 2006 · 7 claims · 6 setups

  Full-text index only

  RhoGAP domain-containing proteins, sharing the conserved arginine residue, form a monophyletic group with a common ancestor.

  rhogap aligned bayesian domain sequence maximum bayesian

• Disease-aging network reveals significant roles of aging genes in connecting genetic diseases.

  PMID 19779549 · PMC2739292 · PLoS computational biology · 2009 · 8 claims · 8 setups

  Full-text index only

  Human disease genes are much closer to aging genes in the PPI network than expected by chance

  protein-protein randomized dan aging network degree-conserved closeness