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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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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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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Detection of venous thromboembolism by proteomic serum biomarkers.
PMID 17579716 · PMC1891085 · PloS one · 2007 · 5 claims · 8 setups
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
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Development of proteomic patterns for detecting lung cancer.
PMID 14757945 · PMC3851077 · Disease markers · 2003 · 8 claims · 3 setups
A decision tree classification algorithm built on three serum protein mass peaks (8122Da, 1452Da, 1610Da) can discriminate lung cancer patients from healthy controls
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Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.
PMID 19121650 · PMC2706936 · Journal of proteomics · 2009 · 7 claims · 5 setups
A new MRM worksheet was implemented in The Global Proteome Machine database (GPMDB) that provides all information needed to design MRM transitions based solely on archived observations from previous experiments by other researchers.
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An initial characterization of the serum phosphoproteome.
PMID 19824718 · PMC2789176 · Journal of proteome research · 2009 · 8 claims · 8 setups
A TiO2-based phosphopeptide enrichment method coupled with LC-MS/MS (LTQ-Orbitrap CID and LTQ-ETD) was developed and applied to characterize the serum phosphoproteome
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LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise.
PMID 17386085 · PMC1847688 · BMC bioinformatics · 2007 · 7 claims · 4 setups
LIMPIC is a computational method for detecting protein peaks from linear-mode MALDI-TOF-MS data using background noise reduction and baseline removal followed by non-uniform threshold peak detection and multi-spectra detection-rate classification.
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A rational approach for discovering and validating cancer markers in very small samples using mass spectrometry and ELISA microarrays.
PMID 15502246 · PMC3839270 · Disease markers · 2004 · 8 claims · 4 setups
A two-stage strategy combining MS proteomics for discovery and ELISA microarrays for validation can identify and characterize cancer markers in very small samples
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Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.
PMID 17166507 · PMC7094463 · Journal of chromatography. A · 2007 · 8 claims · 8 setups
Standardizing sample preparation procedures for serum/plasma profiling is critical for obtaining reliable biomarkers, since slight procedural changes can produce very different protein profiles.