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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Getting it right: being smarter about clinical trials.
PMID 16608383 · PMC1435786 · PLoS medicine · 2006 · 9 claims · 8 setups
Bias and confounding in observational studies can produce misleading associations that are overturned by randomized trials (e.g., HRT).
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Randomised trial of a decision aid and its timing for women being tested for a BRCA1/2 mutation.
PMID 14735173 · PMC2410151 · British journal of cancer · 2004 · 6 claims · 3 setups
The DA had no impact on well-being (anxiety, depression, cancer-related distress, general health)
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Nutrigenomics: the genome--food interface.
PMID 18087577 · PMC2137135 · Environmental health perspectives · 2007 · 8 claims · 8 setups
Nutrigenomics integrates genomic science with nutrition to study how dietary components affect gene expression, the proteome, and the metabolome.
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Proteomics: characterizing the cogs in the machinery of life.
PMID 14630521 · PMC1241753 · Environmental health perspectives · 2003 · 8 claims · 5 setups
Protein expression patterns in blood serum, detected via SELDI-TOF mass spectrometry and analyzed with a genetic algorithm, can distinguish ovarian cancer patients from healthy individuals with very high sensitivity and specificity.
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Genomic and proteomic approaches for studying human cancer: prospects for true patient-tailored therapy.
PMID 15601541 · PMC3525069 · Human genomics · 2004 · 8 claims · 6 setups
DNA microarray gene expression profiling generates robust molecular classifications for many tumour types (brain, breast, colon, gastric, kidney, leukaemia, lymphoma, lung, melanoma, ovary, prostate, etc.)
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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.