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![]( "Buchcover ISBN 9780470011072")
„I liked this book and would recommend it to any statistician newto microarray data analysis... a unique combination of featuresthat make it a contender among the standard textbooks...“(Journal of the American Statistical Association, June 2006)
„... clear... up-to-date... lively advice... an excellent referencetext for any researcher interested in the analysis oftranscriptomic data.“ (Short Book Reviews, Vol.25, No.1, April 2005)
„... this is a very good introduction to one of the most widelyused methods for assessing differential expression...“ (Journalof the Royal Statistical Society, Vol 168 (4) 2005)
„... presents a coherent and systematic overview of statisticalmethods in all stages of the process of analysing microarraydata...“ (Zentralblatt Math, Vol.1049, 2004)
Interest in microarrays has increased considerably in the last tenyears. This increase in the use of microarray technology has led tothe need for good standards of microarray experimental notation, data representation, and the introduction of standard experimentalcontrols, as well as standard data normalization and analysistechniques. Statistics for Microarrays: Design, Analysis andInference is the first book that presents a coherent andsystematic overview of statistical methods in all stages in theprocess of analysing microarray data - from getting good datato obtaining meaningful results.
* Provides an overview of statistics for microarrays, includingexperimental design, data preparation, image analysis, normalization, quality control, and statistical inference.
* Features many examples throughout using real data frommicroarray experiments.
* Computational techniques are integrated into the text.
* Takes a very practical approach, suitable forstatistically-minded biologists.
* Supported by a Website featuring colour images, software, anddata sets.
Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientistsworking with microarray data, the book is also suitable forpostgraduate students of bioinformatics.
* Provides an overview of statistics for microarrays, includingexperimental design, data preparation, image analysis, normalization, quality control, and statistical inference.
* Features many examples throughout using real data frommicroarray experiments.
* Computational techniques are integrated into the text.
* Takes a very practical approach, suitable forstatistically-minded biologists.
* Supported by a Website featuring colour images, software, anddata sets.
Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientistsworking with microarray data, the book is also suitable forpostgraduate students of bioinformatics.
