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The IPA database consists of proprietary ontology representing 300,000 biologic genes, proteins, and molecular and cellular processes.
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Here, we consider a situation that would be clearly seen as an indication of biologic gene susceptibility; namely, when there is no main effect of mutation, but the effect of radiation is different in mutation carriers and non-carriers.
Pearson correlation between chromosomal copy number data and gene expression data was performed within Partek software using the "Biologic Integration/Correlating Gene Expression and Copy Number" function.
Although PPARG was the most likely biologic candidate gene for the reported suggestive association signal, we could not rule out TIMP4 as another possible gene for this signal.
The future success of cartilage tissue engineering is dependent on a number of requirements, including expansion of progenitor cells, optimization of biomaterial scaffold design, and molecular enhancement of cell differentiation and growth using biologics and gene therapeutic means.
Furthermore, a better understanding of the biologic targets and genes manipulated by these therapies is required such that more potent and selective drugs may be developed.
The IPA knowledge base represents a proprietary ontology of over 600,000 classes of biologic objects spanning genes, proteins, cells and cell components, anatomy, molecular and cellular processes, and small molecules.
Instead, we focused on identifying significant pattern changes of biologic process in genes identified from the t test, using the annotations defined by the Gene Ontology Consortium.
Although one gene change may be small and difficult to detect accurately in a significant test, significant enrichments in the biologic process of genes with small changes after HRT use have been assessable.
We sought to determine the biologic significance of genes that were significantly repressed in association with methylation in silico, as well as experimentally, both in vitro and in vivo.
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