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).

• In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.

  PMID 17201911 · PMC1774567 · BMC genomics · 2007 · 8 claims · 5 setups

  Full-text index only

  A computational EST-based pipeline can identify UTR-SNPs that are statistically over-represented in cancerous versus normal tissue libraries

  est acute 100-nt whole-genome est-based pcr-based secondary

• Seeded Bayesian Networks: constructing genetic networks from microarray data.

  PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups

  Full-text index only

  Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed

  leukemia interactome pubmed-indexed computational microarray yeast literature

• An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.

  PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups

  Full-text index only

  A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.

  lung known leukemia tumor paired-end computational snp

• An integrative genomic and epigenomic approach for the study of transcriptional regulation.

  PMID 18365023 · PMC2266992 · PloS one · 2008 · 8 claims · 7 setups

  Full-text index only

  Integrative analysis combining gene expression, DNA methylation, and H3K9 acetylation data reveals hundreds of additional differentially expressed genes missed by gene expression arrays alone

  aml computational help chip-chip gene

• Correcting scale distortion in RNA sequencing data.

  PMID 39875825 · PMC11776150 · BMC bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 76

  Local averaging reveals expression-level-dependent biases that differ from sample to sample across all RNA-seq datasets studied, and are not corrected by conventional normalization (TPM/FPKM)

  tcga su2c gse47774 gtex bulk computational d'agostino