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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Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.
PMID 19740432 · PMC2753349 · Journal of experimental & clinical cancer research : CR · 2009 · 7 claims · 4 setups
A 5-peak prognosis pattern (4474, 4542, 6443/6643, 4988, 6685 Da) predicts poor vs good prognosis in GC with higher sensitivity/specificity than CEA and TNM stage
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PDA: Pooled DNA analyzer.
PMID 16643673 · PMC1539032 · BMC bioinformatics · 2006 · 8 claims · 4 setups
No software existed prior to PDA for complete pooled-DNA analysis including data standardization, allele frequency estimation, and single/multipoint association tests
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A novel peak detection approach with chemical noise removal using short-time FFT for prOTOF MS data.
PMID 19681055 · PMC2782493 · Proteomics · 2009 · 8 claims · 2 setups
PDA_stFFT is a novel automatic peak detection method for prOTOF MS data that does not require a priori knowledge of protein masses
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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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Method of regulatory network that can explore protein regulations for disease classification.
PMID 19962281 · PMC7126395 · Artificial intelligence in medicine · 2010 · 6 claims · 2 setups
A regulatory network (RN) can be constructed as a hopfield-like network, with nodes as biomarkers and directed weighted connections as regulatory relationships, optimized by minimizing an energy function measuring input-output disagreement.