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

• Assessment of serum proteomics to detect large colon adenomas.

  PMID 18708413 · PMC2561171 · Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2008 · 7 claims · 1 setups

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  In the primary, pre-specified blinded validation analysis, the serum proteomics (ProteomeQuest) model showed no significant discrimination between large adenoma and normal subjects (accuracy 51%).

  serum serum

• Development of proteomic patterns for detecting lung cancer.

  PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups

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  A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls

  serum pooled seldi-tof-ms decision reproducibility

• 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

• Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

  PMID 17124346 · PMC3862287 · Disease markers · 2006 · 8 claims · 5 setups

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  SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers

  serum seldi seldi-tof serum univariate

• 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

• High-throughput genomic technology in research and clinical management of breast cancer. Plasma-based proteomics in early detection and therapy.

  PMID 17184556 · PMC1797031 · Breast cancer research : BCR · 2006 · 8 claims · 8 setups

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  Plasma is well suited to proteomic biomarker discovery because it is easily obtained, routinely used diagnostically, and has a rich proteome.

  plasma serum maldi-tof seldi-tof tandem

• Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.

  PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups

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  An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions

  serum computational kda spin-column seldi-tof supervised peptide

• Identification of serum biomarkers for colon cancer by proteomic analysis.

  PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups

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  Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.

  serum pooled seldi seldi-tof seldi artificial

• Novel gene and gene model detection using a whole genome open reading frame analysis in proteomics.

  PMID 16646984 · PMC1557991 · Genome biology · 2006 · 8 claims · 4 setups

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  A six-frame genomic ORF translation used as an MS search database can detect novel peptides absent from standard protein databases, revealing incomplete genome annotation.

  pooled genome est novel tandem whole-genome est

• 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

• Detection of venous thromboembolism by proteomic serum biomarkers.

  PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups

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  A neural network-based classifier built from direct MALDI-TOF MS serum protein expression profiles can diagnose VTE with sensitivity/specificity that exceeds D-dimer assays

  serum anova-selected citrated depleted direct artificial d-dimer

• Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.

  PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups

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  QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies

  serum pooled duplicate full seldi-tof principal technical

• 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

• Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.

  PMID 18509521 · PMC2396875 · PloS one · 2008 · 7 claims · 6 setups

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  wKIERA combines a weighted-kernel discriminant (kernel perceptron) with an iterative stochastic probability estimation-of-distribution algorithm to estimate a relevance distribution over variables

  serum colon glioblastoma synthetic seldi-tof gene computational

• 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

• On consensus biomarker selection.

  PMID 17570864 · PMC1892093 · BMC bioinformatics · 2007 · 7 claims · 2 setups

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  Four popular feature ranking criteria (t-statistic, mutual information, peak probability contrasts, random forest variable importance) produce different rankings of the same features on the same dataset.

  serum seldi-tof maldi-tof

• 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

• 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