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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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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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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Discovery and identification of potential biomarkers of papillary thyroid carcinoma.
PMID 19785722 · PMC2761863 · Molecular cancer · 2009 · 8 claims · 7 setups
A 3-peak (m/z 9190, 6631, 8697 Da) SVM classification model discriminates PTC from non-cancer controls with high sensitivity and specificity
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Limitations in SELDI-TOF MS whole serum proteomic profiling with IMAC surface to specifically detect colorectal cancer.
PMID 19689818 · PMC2743709 · BMC cancer · 2009 · 7 claims · 3 setups
The previously reported classifier (m/z 8,132 and 4,002) failed to discriminate CRC patients from healthy volunteers in this independent validation cohort
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Application of serum SELDI proteomic patterns in diagnosis of lung cancer.
PMID 16029516 · PMC1183195 · BMC cancer · 2005 · 6 claims · 2 setups
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
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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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[Research progress in SELDI-TOF MS and its clinical applications].
PMID 17168305 · PMC7148935 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · 2006 · 4 claims · 4 setups
Proteinchip profiling based on SELDI-TOF MS is a powerful and innovative proteomic technology for biomarker discovery and diagnostic/prognostic assay development.
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Contribution of oncoproteomics to cancer biomarker discovery.
PMID 17407558 · PMC1852117 · Molecular cancer · 2007 · 6 claims · 8 setups
Oncoproteomic biomarker panels (2-DE/MS-based) show higher sensitivity and specificity than currently used single tumor markers across multiple cancer types (Table 1)
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics
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Urinary proteomic profiling for diagnostic bladder cancer biomarkers.
PMID 19811072 · PMC3422861 · Expert review of proteomics · 2009 · 8 claims · 8 setups
Single protein biomarkers (e.g., NMP-22, BTA) suffer from high false-positive rates and none have replaced cystoscopy or cytology for bladder cancer detection.
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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.