Bridging the gap between introductory theory and practical knowledge, this second edition reflects the fast-moving field of DNA microarrays by adding new and updated chapters that cover cutting-edge microarray topics. This edition now offers the option of learning elements of MATLAB (R) in parallel with data analysis. The author also includes Bioconductor tools that are linked to the theoretical concepts discussed in the text. This edition also features more opportunities for readers to practice everything that they have learned from the book. The accompanying CD-ROM provides MATLAB code and tips on how to use the MATLAB Bioinformatics toolbox.
Rezensionen / Stimmen
Praise for the First EditionThe book by Draghici is an excellent choice to be used as a textbook for a graduate-level bioinformatics course. This well-written book with two accompanying CD-ROMs will create much-needed enthusiasm among statisticians.
-Journal of Statistical Computation and Simulation, Vol. 74
I really like Draghici's book. As the author explains in the Preface, the book is intended to serve both the statistician who knows very little about DNA microarrays and the biologist who has no expertise in data analysis. The author lays out a study plan for the statistician that excludes 5 of the 17 chapters (4-8). These chapters present the basics of statistical distributions, estimation, hypothesis testing, ANOVA, and experimental design. What that leaves for the statistician is the three-chapter primer on microarrays and image processing, plus all of the data analysis tools specific to the microarray situation. ... it includes two CDs with trial versions of several specialised software packages. Anyone who uses microarray data should certainly own a copy.
-Technometrics, Vol. 47, No. 1, February 2005 Praise for the First EditionThe book by Draghici is an excellent choice to be used as a textbook for a graduate-level bioinformatics course. This well-written book with two accompanying CD-ROMs will create much-needed enthusiasm among statisticians.
-Journal of Statistical Computation and Simulation, Vol. 74
I really like Draghici's book. As the author explains in the Preface, the book is intended to serve both the statistician who knows very little about DNA microarrays and the biologist who has no expertise in data analysis. The author lays out a study plan for the statistician that excludes 5 of the 17 chapters (4-8). These chapters present the basics of statistical distributions, estimation, hypothesis testing, ANOVA, and experimental design. What that leaves for the statistician is the three-chapter primer on microarrays and image processing, plus all of the data analysis tools specific to the microarray situation. ... it includes two CDs with trial versions of several specialised software packages. Anyone who uses microarray data should certainly own a copy.
-Technometrics, Vol. 47, No. 1, February 2005
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Undergraduate
Produkt-Hinweis
Illustrationen
250 s/w Abbildungen
250 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-4398-0977-8 (9781439809778)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Sorin Draghici is an associate professor in the Department of Computer Science at Wayne State University in Detroit, Michigan.
