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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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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Has reproduction · 63
Comparative Genomics of Borderline Oxacillin-Resistant Staphylococcus aureus Detected during a Pseudo-outbreak of Methicillin-Resistant S. aureus in a Neonatal Intensive Care Unit.
PMID 35038924 · PMC8764539 · mBio · 2022 · 7 claims · 8 setups
Of 42 isolates flagged as MRSA by screening agar, only 9 were PBP2a- and mecA-positive true MRSA, while the remaining 33 were mecA-negative and largely met criteria for BORSA
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MALDI profiling of human lung cancer subtypes.
PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups
PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes
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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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Prediction of missed cleavage sites in tryptic peptides aids protein identification in proteomics.
PMID 17203985 · PMC2664920 · Journal of proteome research · 2007 · 8 claims · 4 setups
An information-theoretic log-likelihood scoring method can predict experimentally observed missed cleavage sites from amino acid sequence alone with up to 90% accuracy.
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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.