Microarrays for simultaneous measurement of redundancy  of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical M...

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Weitere Verfasser:	Yakovlev, Andrei Y. (HerausgeberIn), Klebanov, Lev (HerausgeberIn), Gaile, Daniel (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Springer New York 2013
Schriftenreihe:	Methods in Molecular Biology, Methods and Protocols 972
Schlagworte:	Biomedicine Human Genetics Microarrays Medicine Human genetics Datenanalyse Microarray Methode Aufsatzsammlung
Online-Zugang:	UBR01 TUM01 Volltext
Zusammenfassung:	Microarrays for simultaneous measurement of redundancy  of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.  Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study  microarrays and the most current statistical methods
Beschreibung:	1 Online-Ressource (XI, 212 p. 34 illus., 14 illus. in color)
ISBN:	9781603273374
DOI:	10.1007/978-1-60327-337-4