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.
| ISBN: | 9781603273367 |
| Publication date: | 6th February 2013 |
| Author: | Andrej Yu Yakovlev, L B Klebanov, Daniel Gaile |
| Publisher: | Humana Press an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 212 pages |
| Series: | Methods in Molecular Biology |
| Genres: |
Medical genetics Computational biology / bioinformatics |
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.
Statistical Methods for Microarray Data Analysis features in the following genres: Medical genetics, Computational biology / bioinformatics
Hardback. Not Available.
Statistical Methods for Microarray Data Analysis was written by Andrej Yu Yakovlev, L B Klebanov, Daniel Gaile and published by Humana Press an imprint of Springer New York
Statistical Methods for Microarray Data Analysis has 212 pages
Yes it is part of Methods in Molecular Biology series