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).

• Patterns of somatic mutation in human cancer genomes.

  PMID 17344846 · PMC2712719 · Nature · 2007 · 8 claims · 5 setups

  Full-text index only

  Systematic resequencing of a large gene family (protein kinases) across diverse cancers reveals a larger repertoire of cancer genes than previously anticipated

  cancers additional computational combined targeted follow-up statistical

• Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.

  PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups

  Has reproduction · 59

  The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance

  merged gse45827 superior differential feature comparative

• BRCA1 mutations in southern England.

  PMID 9649133 · PMC2150412 · British journal of cancer · 1998 · 7 claims · 4 setups

  Full-text index only

  Early age of onset combined with a strong family history is the most effective selection criterion for detecting BRCA1 mutations, more so than bilaterality alone

  genomic pcr clinical heteroduplex sequencing pcr

• Haplotype analysis of common variants in the BRCA1 gene and risk of sporadic breast cancer.

  PMID 15743496 · PMC1064127 · Breast cancer research : BCR · 2005 · 7 claims · 5 setups

  Full-text index only

  A common BRCA1 haplotype (haplotype 2, C A G G) is associated with a modest increase in sporadic breast cancer risk

  individuals nested same nurses whole-gene snp statistical

• Positive selection for the male functionality of a co-retroposed gene in the hominoids.

  PMID 19832993 · PMC2773790 · BMC evolutionary biology · 2009 · 8 claims · 8 setups

  Full-text index only

  PIPSL is an extraordinary co-retroposed protein-coding gene that may participate in male-specific functions of humans and close relatives

  african chimpanzee orangutan reconstructed population hka comparative

• Proteome analysis enables separate clustering of normal breast, benign breast and breast cancer tissues.

  PMID 12865921 · PMC2394238 · British journal of cancer · 2003 · 6 claims · 3 setups

  Full-text index only

  Hierarchical cluster analysis of 2-DE proteome data can distinguish normal breast, benign breast, and breast cancer tissues based on protein expression profiles

  breast two-dimensional hierarchical mann-whitney

• Incidence of mutation and deletion in topoisomerase II alpha mRNA of etoposide and mAMSA-resistant cell lines.

  PMID 11676865 · PMC5926608 · Japanese journal of cancer research : Gann · 2001 · 7 claims · 6 setups

  Full-text index only

  Acquired mutations of the topoisomerase IIα gene are an important and frequent mechanism of resistance to topoisomerase II inhibitors, independent of the degree of resistance.

  parental lines t47d-vp1 mcf7-vp8 rnase cdna cytotoxicity

• HapMap-based study of the 17q21 ERBB2 amplicon in susceptibility to breast cancer.

  PMID 17117180 · PMC2360759 · British journal of cancer · 2006 · 6 claims · 5 setups

  Full-text index only

  Common genetic variation (tSNPs and haplotypes) across the 400-kb 17q21 ERBB2 amplicon is not associated with breast cancer risk in British women.

  white same hapmap snp haplotype tagging

• CLEAN: CLustering Enrichment ANalysis.

  PMID 19640299 · PMC2734555 · BMC bioinformatics · 2009 · 8 claims · 4 setups

  Full-text index only

  The gene-specific CLEAN score improves reproducibility of cluster analysis conclusions across independent datasets compared to the traditional cluster-wide score (cwCLEAN).

  four breast combined hierarchical cluster csimm-based

• Integrating complex genomic datasets and tumour cell sensitivity profiles to address a 'simple' question: which patients should get this drug?

  PMID 20003409 · PMC2799438 · BMC medicine · 2009 · 8 claims · 5 setups

  Full-text index only

  A panel of 48 genomically characterized breast cancer cell lines can model patient tumour heterogeneity to identify biomarkers predicting response to PG-11047

  panel breast 250-gene candidate genome growth pathway

• Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.

  PMID 31533612 · PMC6751684 · BMC bioinformatics · 2019 · 7 claims · 8 setups

  Has reproduction · 69

  An ensemble feature selection method based on classifier consensus identifies a robust 100-miRNA signature from TCGA data.

  tcga geo 100-mirna mirna feature bibliographic

• Interpretation of genomic data: questions and answers.

  PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups

  Full-text index only

  The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.

  genetically wound tumor breast gene expression comparative

• Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.

  PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 5 setups

  Has reproduction · 83

  A multigene peripheral-blood gene-expression biomarker accurately classifies which women from high-risk families develop familial breast cancer.

  peripheral pbmcs blood normal gene-expression lymphocyte gene

• Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signature.

  PMID 35143511 · PMC8830616 · PloS one · 2022 · 8 claims · 6 setups

  Has reproduction · 48

  A hybrid signature combining the Nottingham Prognostic Index with SIS-selected gene expressions can be built in a data-driven fashion (NPI treated as a gene expression during feature selection).

  metabric scan-b gene rna-seq feature

• Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues.

  PMID 41298871 · PMC12662399 · Nature cell biology · 2025 · 7 claims · 6 setups

  Has reproduction · 100

  S2-omics is an end-to-end workflow that automatically selects ROIs from H&E histology images to maximize molecular information content for spatial omics profiling.

  gastric colorectal additional breast xenium visium histology

• A network-guided protocol to discover susceptibility genes in genome-wide association studies using stability selection.

  PMID 36609152 · PMC9850185 · STAR protocols · 2023 · 5 claims · 5 setups

  Has reproduction · 92

  The protocol identifies genes that are both statistically associated with a phenotype and functionally interconnected in a biological network

  case-control gene-gene fictional familial snp-phenotype gene-level network-guided

• Generative and integrative modeling for transcriptomics with formalin fixed paraffin embedded material.

  PMID 41029822 · PMC12486589 · Journal of translational medicine · 2025 · 8 claims · 5 setups

  Has reproduction · 67

  fRNA-seq transcript counts are best fit by the negative binomial distribution, with little evidence supporting zero-inflated extensions

  compendium frna-seq nb-generated breast ffpe distribution synthetic

• Microarray analysis: genome-scale hypothesis scanning.

  PMID 14551912 · PMC212694 · PLoS biology · 2003 · 8 claims · 5 setups

  Full-text index only

  Microarrays can be used to both test and generate hypotheses, not merely to fish for candidate genes.

  drosophila yeast diffuse breast microarray integrated gene

• Prioritization of candidate cancer genes--an aid to oncogenomic studies.

  PMID 18710882 · PMC2566894 · Nucleic acids research · 2008 · 8 claims · 8 setups

  Full-text index only

  Computational classifiers using combinations of protein conservation, gene structure, protein domains, protein interactions, and regulatory data can distinguish known cancer genes (CD/CR) from unlabelled human genes

  genes cancer interpro interactome averaged cross-validation domain