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).
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Proteomics as a tool for biomarker discovery.
PMID 18057524 · PMC3851415 · Disease markers · 2007 · 8 claims · 7 setups
A useful clinical biomarker must be easily attainable, have adequate sensitivity, have adequate specificity, and lead to patient benefit through intervention
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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
Women with severe preeclampsia present a unique urinary proteomic fingerprint distinguishable from controls.
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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
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
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CSF metabolic and proteomic profiles in patients prodromal for psychosis.
PMID 17712404 · PMC1942084 · PloS one · 2007 · 8 claims · 5 setups
CSF metabolic and proteomic profiles of IPS patients are distributed across, and partially overlap with, the profiles of first-onset drug-naïve schizophrenia patients and healthy controls
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Proteomic analysis of RCL2 paraffin-embedded tissues.
PMID 19012729 · PMC4506168 · Journal of cellular and molecular medicine · 2008 · 8 claims · 8 setups
RCL2-fixed paraffin-embedded (RCL2P) tissue consistently gives the highest protein yield compared to FFPE and frozen tissue across extraction protocols
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Proteomics: characterizing the cogs in the machinery of life.
PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups
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.
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Constructing support vector machine ensembles for cancer classification based on proteomic profiling.
PMID 16689692 · PMC5173238 · Genomics, proteomics & bioinformatics · 2005 · 7 claims · 4 setups
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.
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Feature selection and nearest centroid classification for protein mass spectrometry.
PMID 15788095 · PMC1274262 · BMC bioinformatics · 2005 · 8 claims · 5 setups
Sequential forward selection and a novel boosted feature selection algorithm produce the most consistent classification results across all five cancer data sets tested
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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
SELDI-TOF MS serum profiling can discriminate MM patients with vs without skeletal (bone lesion) involvement using peak biomarkers
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Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum.
PMID 16980117 · PMC7159276 · Lancet (London, England) · 2006 · 8 claims · 5 setups
An SVM classifier trained on serum proteomic profiles discriminated patients with active tuberculosis from controls with clinically overlapping conditions
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Identification of serum biomarkers for colon cancer by proteomic analysis.
PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups
Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.
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Proteomic profiling of the amniotic fluid to detect inflammation, infection, and neonatal sepsis.
PMID 17227133 · PMC1769412 · PLoS medicine · 2007 · 8 claims · 8 setups
Higher MR scores (severe, 3-4) are associated with significantly shorter amniocentesis-to-delivery intervals than minimal (1-2) or no (0) inflammation
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Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
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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
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.
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Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.
PMID 18509521 · PMC2396875 · PloS one · 2008 · 7 claims · 6 setups
wKIERA combines a weighted-kernel discriminant (kernel perceptron) with an iterative stochastic probability estimation-of-distribution algorithm to estimate a relevance distribution over variables
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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
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.
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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
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.
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Measurement reproducibility in the early stages of biomarker development.
PMID 15665389 · PMC3839328 · Disease markers · 2004 · 6 claims · 3 setups
Functional PCA can be used as the basis for gauge R&R (repeatability and reproducibility) assessment of mass spectra without prior identification of which spectral features are biomarkers
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On consensus biomarker selection.
PMID 17570864 · PMC1892093 · BMC bioinformatics · 2007 · 7 claims · 2 setups
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.
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Update on diabetes mellitus.
PMID 15502249 · PMC3839330 · Disease markers · 2004 · 8 claims · 7 setups
Type 1 diabetes results from selective destruction of pancreatic beta cells via T-cell and cytokine mediated autoimmune mechanisms, possibly involving destruction of peri-islet Schwann cells.