statistical methods microarray data (8 Ergebnisse)

Zustand: Good. Volume 972. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9781603273367.

235 mm x 155 mm. xi, 210 p. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Methods in Molecular Biology ; 972. Sprache: Englisch.

Taschenbuch. Zustand: Neu. Models and methods used in the analysis of microarray expression data | Towards the identi¿cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome | Dominik Lutter | Taschenbuch | 136 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838117638 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Hardcover. Zustand: Brand New. 300 pages. 10.39x7.28x0.79 inches. In Stock.

Buch. Zustand: Neu. Neuware -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.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 224 pp. Englisch.

Zustand: New. Argues that the modern state of the art in methodology of microarray data analysis based on significance testing is far from satisfactory. This book includes selected papers on this subject. Editor(s): Yakovlev, Andrei Y.; Klebanov, Lev B.; Gaile, Daniel. Series: Methods in Molecular Biology. Num Pages: 223 pages, 23 black & white tables, biography. BIC Classification: PBT; PDE; PSAK1; PSD. Category: (P) Professional & Vocational. Dimension: 262 x 182 x 18. Weight in Grams: 582. . 2013. 2013th Edition. hardcover. . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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(TM) 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.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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(TM) 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.