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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Wiggle-predicting functionally flexible regions from primary sequence.
PMID 16839194 · PMC1500818 · PLoS computational biology · 2006 · 7 claims · 6 setups
A GNM-derived, correlation-weighted 'FF score' can objectively define functionally flexible regions (FFRs) that match experimentally confirmed flexible/functional regions (hinges, recognition loops, catalytic loops).
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort
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A mouse to human search for plasma proteome changes associated with pancreatic tumor development.
PMID 18547137 · PMC2504036 · PLoS medicine · 2008 · 7 claims · 8 setups
GEM models combined with in-depth proteomic analysis provide a useful strategy to identify candidate cancer markers applicable to human disease with potential for early detection
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KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups
KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.
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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.
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Proteomics identifies multipotent and low oncogenic risk stem cells of the spleen.
PMID 20005973 · PMC2891339 · The international journal of biochemistry & cell biology · 2010 · 8 claims · 5 setups
CD45- splenic stem cell-specific proteins are identical to core iPS/ES markers OCT3/4, SOX2, KLF4, c-MYC and NANOG.