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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Diagnostic proteomics: serum proteomic patterns for the detection of early stage cancers.
PMID 15258335 · PMC3851082 · Disease markers · 2003 · 8 claims · 8 setups
Proteomic pattern analysis of serum mass spectra, without identifying the underlying proteins, can distinguish cancer patients from healthy controls with high sensitivity and specificity.
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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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Serum protein profile in systemic-onset juvenile idiopathic arthritis differentiates response versus nonresponse to therapy.
PMID 15987476 · PMC1175022 · Arthritis research & therapy · 2005 · 8 claims · 8 setups
SELDI-TOF MS can differentiate serum protein profiles of active versus well-controlled SJIA
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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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Preclinical and post-treatment changes in the HCC-associated serum proteome.
PMID 17060939 · PMC2360589 · British journal of cancer · 2006 · 7 claims · 6 setups
SELDI proteomic profiling of serum reveals consistent, statistically significant changes associated with the development of HCC in hepatitis C patients
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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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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
SELDI-TOF-MS ProteinChip array profiling of serum can identify differentially expressed protein biomarkers in SARS-CoV infected patients versus controls.
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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
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.
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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 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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The current state of proteomics in GI oncology.
PMID 19104933 · PMC3045515 · Digestive diseases and sciences · 2009 · 8 claims · 8 setups
More than 130 exploratory proteomic studies have defined candidate biomarkers in serum, GI fluids, or cancer tissue for GI oncology
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Characterization of the placental macrophage secretome: implications for antiviral activity.
PMID 19070362 · PMC2947718 · Placenta · 2009 · 7 claims · 5 setups
PM and MDM secrete different soluble proteins, some of which may contribute to decreased HIV-1 replication in PM
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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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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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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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Biomarkers of lupus nephritis determined by serial urine proteomics.
PMID 18596723 · PMC2614389 · Kidney international · 2008 · 7 claims · 6 setups
SELDI-TOF-MS screening of the LMW urine proteome identifies protein ions that are differentially expressed across phases of the lupus nephritis flare cycle (baseline, pre-flare, flare, post-flare)