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).

• 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

• 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

• 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

• Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.

  PMID 19740432 · PMC2753349 · Journal of experimental & clinical cancer research : CR · 2009 · 7 claims · 4 setups

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  A 5-peak prognosis pattern (4474, 4542, 6443/6643, 4988, 6685 Da) predicts poor vs good prognosis in GC with higher sensitivity/specificity than CEA and TNM stage

  serum seldi seldi-tof-ms chemiluminescence bioinformatic

• Application of ProteinChip array profiling in serum biomarker discovery for patients suffering from severe acute respiratory syndrome.

  PMID 18220240 · PMC7120874 · Methods in molecular biology (Clifton, N.J.) · 2007 · 8 claims · 5 setups

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  SELDI-TOF-MS ProteinChip array profiling of serum can identify differentially expressed protein biomarkers in SARS-CoV infected patients versus controls.

  serum sars seldi-tof-ms ion serial

• Serum diagnosis of diffuse large B-cell lymphomas and further identification of response to therapy using SELDI-TOF-MS and tree analysis patterning.

  PMID 18163913 · PMC2242801 · BMC cancer · 2007 · 8 claims · 8 setups

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  SELDI-TOF-MS serum proteomic patterns analyzed by decision tree classification (Biomarker Pattern Software) can discriminate DLBCL patients from healthy controls with high sensitivity and specificity.

  serum seldi dlbcl pooled seldi-tof-ms proteinchip decision

• Proteomic profiling of urine identifies specific fragments of SERPINA1 and albumin as biomarkers of preeclampsia.

  PMID 18984079 · PMC2679897 · American journal of obstetrics and gynecology · 2008 · 8 claims · 7 setups

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  Women with severe preeclampsia present a unique urinary proteomic fingerprint distinguishable from controls.

  urine placenta placental seldi-tof tandem spiking

• 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

• Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

  PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups

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  A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity

  serum hplc-purified trypsin-digested crude seldi-tof-ms solid-phase maldi-tof-ms

• 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

• Application of serum SELDI proteomic patterns in diagnosis of lung cancer.

  PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups

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  A five-protein-peak SELDI decision-tree pattern (11493, 6429, 8245, 5335, 2538 Da) distinguishes lung cancer sera from healthy control sera with relatively high sensitivity and specificity

  serum seldi-tof-ms electrochemiluminescent

• Logical Analysis of Data (LAD) model for the early diagnosis of acute ischemic stroke.

  PMID 18616825 · PMC2492849 · BMC medical informatics and decision making · 2008 · 7 claims · 5 setups

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  An LAD classification model built from a support-set of 3 peptide peaks can distinguish stroke patients from controls with 75% accuracy on an independent validation set

  plasma discretized seldi-tof serum logical

• 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

• 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

• Multidimensional proteomics analysis of amniotic fluid to provide insight into the mechanisms of idiopathic preterm birth.

  PMID 18431506 · PMC2315798 · PloS one · 2008 · 7 claims · 7 setups

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  A novel 5-peak SELDI proteomic signature (Q-profile) in the 10-12.5 kDa mass range identifies a subgroup of women at risk for preterm birth without intra-amniotic inflammation or bleeding.

  amniotic excised spot differentially seldi-tof fluorescence robotic

• 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

• The use of urine proteomic and metabonomic patterns for the diagnosis of interstitial cystitis and bacterial cystitis.

  PMID 15258332 · PMC3850593 · Disease markers · 2003 · 6 claims · 2 setups

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  Urine MS and 1H-NMR spectral patterns can be used to discriminate IC-affected, BC-affected, and unaffected individuals with approximately 84% success rate.

  urine surface-binding high-resolution

• Proteomics as a method for early detection of cancer: a review of proteomics, exhaled breath condensate, and lung cancer screening.

  PMID 18095050 · PMC2150625 · Journal of general internal medicine · 2008 · 8 claims · 7 setups

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  Protein expression is closely aligned with cellular activity, unlike genomic changes which may have no functional significance

  serum resected plasma lower microarray two-dimensional proteomic

• 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

• Biomarker discovery in neurodegenerative diseases: a proteomic approach.

  PMID 18938247 · PMC2939006 · Neurobiology of disease · 2009 · 6 claims · 8 setups

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  Proteomic profiling of CSF and plasma can identify candidate protein biomarkers that distinguish AD patients from controls with high sensitivity and specificity

  csf plasma brain 2-dge lc-ms seldi-tof-ms