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).

• Analysis of cancer risk and BRCA1 and BRCA2 mutation prevalence in the kConFab familial breast cancer resource.

  PMID 16507150 · PMC1413975 · Breast cancer research : BCR · 2006 · 6 claims · 7 setups

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  kConFab is a collaborative resource providing epidemiological, clinical, and biospecimen data from high-risk familial breast/ovarian cancer families, available to researchers worldwide for ethically approved, peer-reviewed projects.

  germline unaffected index randomly brca1 tyrer-cuzick strp

• 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

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  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

• Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.

  PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups

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  DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)

  breast sars serum tumour microarray custom mass

• CLEAN: CLustering Enrichment ANalysis.

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

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  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

• Design and analysis issues in genome-wide somatic mutation studies of cancer.

  PMID 18692126 · PMC2820387 · Genomics · 2009 · 6 claims · 4 setups

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  Two-stage (discovery + validation) sequencing designs efficiently allocate resources and can produce highly informative candidate driver gene lists even with relatively small sample sizes.

  hypothetical panel colorectal germline simulation targeted genome-wide

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

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

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  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

• Optimal scaling of digital transcriptomes.

  PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups

  Has reproduction · 67

  Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.

  tissues bodymap mapped 16-sample bulk read transcript

• scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.

  PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups

  Has reproduction · 62

  scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer

  panglaodb cancer geo gse137829 single-cell bulk