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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An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer immunological prevention.
PMID 16351756 · PMC1866378 · BMC bioinformatics · 2005 · 8 claims · 6 setups
Meta-analysis of two independent BALB-neuT transcription profiling studies can identify new TAA candidates usable instead of or with Her2
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Nutritional genomics, polyphenols, diets, and their impact on dietetics.
PMID 18954579 · PMC2692306 · Journal of the American Dietetic Association · 2008 · 8 claims · 8 setups
Nutrient-gene interactions, exemplified by the MTHFR C677T polymorphism, modulate individual metabolic responses (e.g., homocysteine metabolism) and can be offset by adjusting nutrient intake such as folate
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Two committees tackle toxicogenomics.
PMID 12501852 · PMC1241123 · Environmental health perspectives · 2002 · 8 claims · 8 setups
NIEHS funded a $37 million, five-year Toxicogenomics Research Consortium (TRC) linking the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to coordinate gene-expression research on environmental health effects.
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Toxicogenomics research consortium sails into uncharted waters.
PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups
The NIEHS-funded $37 million Toxicogenomics Research Consortium (TRC) combines the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to define genetic variability, set gene expression standards, and study environmental stress responses.
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93rd Annual Meeting of the American Association for Cancer Research, San Francisco, CA, USA, 6-10 April 2002.
PMID 12100742 · PMC138737 · Breast cancer research : BCR · 2002 · 8 claims · 8 setups
Serial analysis of gene expression identifies genes preferentially expressed in ductal carcinoma in situ
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Has reproduction · 67
Integrative analyses reveal signaling pathways underlying familial breast cancer susceptibility.
PMID 26969729 · PMC4812528 · Molecular systems biology · 2016 · 7 claims · 6 setups
Cell adhesion (cell-cell and cell-ECM) pathways are significantly and consistently dysregulated in women who develop familial breast cancer across multiple omic data types and tissues.
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Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.
PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups
Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity
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The genomic analysis of lactic acidosis and acidosis response in human cancers.
PMID 19057672 · PMC2585811 · PLoS genetics · 2008 · 8 claims · 8 setups
Lactic acidosis and hypoxia induce largely distinct gene expression programs in HMECs, with lactic acidosis producing a much larger and more dramatic response
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Has reproduction · 97
Easy and efficient ensemble gene set testing with EGSEA.
PMID 29333246 · PMC5747338 · F1000Research · 2017 · 8 claims · 2 setups
EGSEA combines results from up to 12 prominent gene set testing algorithms to obtain a consensus ranking of biologically relevant gene sets.
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Utilization of genomic signatures to identify phenotype-specific drugs.
PMID 19714244 · PMC2729377 · PloS one · 2009 · 8 claims · 8 setups
A RAS pathway gene expression signature applied to NCI-60 cells identifies compounds selectively active against RAS-activated cells, including the MEK inhibitor Hypothemycin
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The mammalian phenotype ontology: enabling robust annotation and comparative analysis.
PMID 20052305 · PMC2801442 · Wiley interdisciplinary reviews. Systems biology and medicine · 2009 · 8 claims · 6 setups
The Mammalian Phenotype (MP) Ontology enables classification and organization of phenotypic data for mouse and other mammalian species in a computationally useful, standardized manner.