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).

• Ovarian cancer biomarkers: current options and future promise.

  PMID 18926090 · PMC3381792 · Journal of the National Comprehensive Cancer Network : JNCCN · 2008 · 8 claims · 8 setups

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  CA125 lacks the sensitivity and specificity needed for reliable early-stage ovarian cancer detection, since only ~50% of stage I/II cases show elevated levels

  serum plasma preoperative advanced serum plasma elisa

• 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

• 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

• Proteomic-based identification of haptoglobin-1 precursor as a novel circulating biomarker of ovarian cancer.

  PMID 15199385 · PMC2364749 · British journal of cancer · 2004 · 7 claims · 7 setups

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  Six serum protein spots (~40 kDa, pI 5.9–6.6) significantly overexpressed in grade 1, 2 and 3 ovarian cancer patients were identified by MALDI-TOFMS and n-ESIQ(q)TOFMS as isoforms of haptoglobin-1 precursor (HAP1)

  serum tryptic 2de-separated paraffin-embedded two-dimensional affi-gel maldi-tofms

• A European focus on proteomics.

  PMID 15128441 · PMC416463 · Genome biology · 2004 · 8 claims · 8 setups

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  MALDI-MS and ESI-MS are complementary techniques that identify overlapping but distinct subsets of proteins

  ribosomal breast ovarian prostate maldi-ms laser-capture fticr-ms

• 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

• Contribution of oncoproteomics to cancer biomarker discovery.

  PMID 17407558 · PMC1852117 · Molecular cancer · 2007 · 6 claims · 8 setups

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  Oncoproteomic biomarker panels (2-DE/MS-based) show higher sensitivity and specificity than currently used single tumor markers across multiple cancer types (Table 1)

  serum bladder nipple colorectal 2-de isotope-coded immunoblotting

• A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.

  PMID 18615428 · PMC2855839 · Proteomics · 2008 · 6 claims · 4 setups

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  Noise in SELDI-TOF/MALDI-TOF mass spectrometry data is heteroscedastic across the m/z range, with larger variance at lower m/z values, contrary to the homogeneous noise assumption of existing wavelet denoising methods.

  serum raw denoised simulated seldi-tof wavelet-based peak

• Identification of biomarkers from mass spectrometry data using a "common" peak approach.

  PMID 16869977 · PMC1550264 · BMC bioinformatics · 2006 · 8 claims · 1 setups

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  "Common" peaks—those exhibited by many subjects—can be identified and used as biomarkers in high-dimensional mass spectrometry data

  serum mass

• Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.

  PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups

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  Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.

  serum frozen ig-depleted clinical seldi-tof maldi lc-ms

• Proteomic profiling in ovarian cancer.

  PMID 19955909 · PMC7319026 · International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2009 · 8 claims · 6 setups

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  No validated or cost-efficient screening program exists for ovarian cancer; physical exam, CA125, and transvaginal ultrasound lack sufficient sensitivity/specificity for early-stage detection.

  serum tumor rolling mass microarray

• Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.

  PMID 19733729 · PMC2748225 · Analytica chimica acta · 2009 · 8 claims · 4 setups

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  ACA-based wavelet coefficient feature selection can achieve up to 100% classification accuracy on training, validating, and independent testing sets using only 5 selected features.

  blood baseline-corrected 953-dimensional training seldi-tof wavelet ant

• Constructing support vector machine ensembles for cancer classification based on proteomic profiling.

  PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups

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  CSVME, built by selecting a subset of base SVMs via SVM-RFE ranking and fusing them with a trained upper-layer SVM, achieves better classification performance than an ensemble of all base SVMs.

  serum computational seldi-tof svm-rfe-based 10-fold

• Feature selection and nearest centroid classification for protein mass spectrometry.

  PMID 15788095 · PMC1274262 · BMC bioinformatics · 2005 · 8 claims · 5 setups

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  Sequential forward selection and a novel boosted feature selection algorithm produce the most consistent classification results across all five cancer data sets tested

  serum seldi-tof

• Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients.

  PMID 19888321 · PMC2765613 · PloS one · 2009 · 8 claims · 8 setups

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  Serum S100A6 concentration correlates with peritoneal tumor burden in a mouse OVCA xenograft model, based on inverse regression calibration against bioluminescent imaging data.

  serum skov-3 pooled ovca lc-ms antigen whole-animal

• [Research progress in SELDI-TOF MS and its clinical applications].

  PMID 17168305 · PMC7148935 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · 2006 · 4 claims · 4 setups

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  Proteinchip profiling based on SELDI-TOF MS is a powerful and innovative proteomic technology for biomarker discovery and diagnostic/prognostic assay development.

  malignancies infectious neurological diabetic seldi-tof

• Proteomics: characterizing the cogs in the machinery of life.

  PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups

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  Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.

  blood lung hemoglobin proteins seldi-tof proteome tandem

• Glycomics and disease markers.

  PMID 19775929 · PMC2788081 · Current opinion in chemical biology · 2009 · 8 claims · 7 setups

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  Over 70% of all human proteins are glycosylated

  serum glycoprotein-derived sera maldi-fticr glycan nanoflow

• 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

• Cancer screening: a mathematical model relating secreted blood biomarker levels to tumor sizes.

  PMID 18715113 · PMC2517618 · PLoS medicine · 2008 · 8 claims · 4 setups

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  A linear one-compartment mathematical model can relate secreted blood tumor biomarker levels to tumor burden/size at steady state

  ovarian serum model culture clinical mathematical