Abstract
The process of development and maintenance of tissues is complex. Key genes have been identified that serve as master switches during development, regulating numerous other genes and guiding differentiation and the development of complex structures. Within cells comprising different tissue types, the genomic complements of genes remain the same. Understanding what differentiates one tissue from another requires a different level of analysis, one performed at a functional rather than structural level. We have used a new version of the Bayesian Decomposition algorithm to identify tissue specific expression. The expression patterns which result were analyzed in terms of the ontological information on the processes in which a gene is involved by exploration of the Gene Ontology database using automated software for data retrieval and analysis.
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Moloshok, T.D., Datta, D., Kossenkov, A.V., Ochs, M.F. (2004). Bayesian Decomposition Classification of the Project Normal Data Set. In: Johnson, K.F., Lin, S.M. (eds) Methods of Microarray Data Analysis III. Springer, Boston, MA. https://doi.org/10.1007/0-306-48354-8_15
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DOI: https://doi.org/10.1007/0-306-48354-8_15
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