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).

• A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.

  PMID 19828085 · PMC2762074 · BMC bioinformatics · 2009 · 7 claims · 1 setups

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  A scale-space based unsupervised feature extraction method combined with SVM classification achieves high accuracy in ovarian cancer detection from serum mass spectra.

  serum high-resolution

• TP53 mutations in ovarian carcinomas from sporadic cases and carriers of two distinct BRCA1 founder mutations; relation to age at diagnosis and survival.

  PMID 16229746 · PMC1276789 · BMC cancer · 2005 · 8 claims · 4 setups

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  Survival for BRCA1-familial ovarian cancer cases with TP53 mutations was not significantly different from familial cases without TP53 mutations (p=0.25, RR=1.64)

  ovarian sporadic paraffin-embedded mutation survival extraction

• Proteomics as a tool for biomarker discovery.

  PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups

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  A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention

  serum laser ovarian seldi-tof two-dimensional gene

• Prevalence of BRCA1 in a hospital-based population of Dutch breast cancer patients.

  PMID 10952774 · PMC2363536 · British journal of cancer · 2000 · 8 claims · 5 setups

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  The estimated prevalence of BRCA1 mutations in the general Dutch breast cancer population is 2.1%

  peripheral reamplified patients dsdi founder-deletion-specific direct

• Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

  PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups

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  Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.

  serum aqueous maldi-tof seldi-tof peak

• On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve.

  PMID 18076765 · PMC2211327 · BMC bioinformatics · 2007 · 8 claims · 4 setups

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  The TGDR-AUC algorithm regularizes the empirical AUC by replacing the non-differentiable 0-1 loss with a smooth sigmoid surrogate function and applies constrained threshold gradient descent regularization

  simulated serum preprocessed simulation mass high-resolution