Abstract
We provide a framework for reducing and interpreting results of multiple microarray experiments. The basic tools are a flexible genefiltering procedure, a dynamic and extensible annotation system, and methods for visualization. The gene-filtering procedure efficiently evaluates families of deterministic or statistical predicates on collections of expression measurements. The expression-filtering predicates may involve reference to arbitrarily complex predicates on phenotype or genotype data. The annotation system collects mappings between manufacturer-specified probe set identifiers and public use nomenclature, ontology, and bibliographic systems. Visualization tools allow the exploration of the experimental data with respect to genomic quantities such as chromosomal location or functional groupings.
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© 2003 Springer-Verlag New York, Inc.
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Gentleman, R., Carey, V. (2003). Visualization and Annotation of Genomic Experiments. In: Parmigiani, G., Garrett, E.S., Irizarry, R.A., Zeger, S.L. (eds) The Analysis of Gene Expression Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-21679-0_2
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DOI: https://doi.org/10.1007/0-387-21679-0_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95577-3
Online ISBN: 978-0-387-21679-9
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