Hinrich Göhlmann and Willem Talloen work at Johnson & Johnson Pharmaceutical R&D as Principal Scientist and Senior Biostatistician, respectively.

• Biological question. Affymetrix microarrays. Running the experiment. Data analysis preparation. Data analysis. Presentation of results. Pharmaceutical R&D. Using R and Bioconductor. Future Perspectives.

… useful for practitioners working in gene expression studies … a valuable self-contained introductory material presenting all aspects of gene expression studies using Affymetrix microarrays. The book is well-arranged. The inserted boxes explaining biological or statistical concepts help to make the book very readable. … a well-written overview over a broad range of problems and solutions with the interpretation. …—ISCB News, No. 51, June 2011…The book is very well organized and well written, and covers many of the major topics of microarrays experiments … A nice feature of this book, and one which makes it very pleasant to read, is the use of full-color illustrations and plots, as well as boxes with some highlighted information, such as biological and statistical concepts. …—Guilherme J.M. Rosa, Biometrics, December 2010The target audience of this book is practicing biologists making use of microarray technology, but it may be of great interest to their statistician collaborators or statisticians new to the field. … When I began investigating bioinformatics as a statistics graduate student several years ago, it would have saved me a great deal of time to have a single resource such as this to help me understand this aspect of the field. … Chapter 5 … essentially serves as a catalog of commonly applied statistical methods for gene expression (or more generally, high-dimensional) data. The breadth of this catalog is impressive. … —Journal of the American Statistical Association, Sept. 2010, Vol. 105, No. 491"Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profling experiments and data analyses, this text tears down the omnipresent language barriers among molecular biology, bioinformatics,and biostatistics by explaining the entire process of a gene expression study from conception to conclusion."—Zentralblatt MATH

Hinrich Göhlmann and Willem Talloen work at Johnson & Johnson Pharmaceutical R&D as Principal Scientist and Senior Biostatistician, respectively.

• Biological question. Affymetrix microarrays. Running the experiment. Data analysis preparation. Data analysis. Presentation of results. Pharmaceutical R&D. Using R and Bioconductor. Future Perspectives.

… useful for practitioners working in gene expression studies … a valuable self-contained introductory material presenting all aspects of gene expression studies using Affymetrix microarrays. The book is well-arranged. The inserted boxes explaining biological or statistical concepts help to make the book very readable. … a well-written overview over a broad range of problems and solutions with the interpretation. …—ISCB News, No. 51, June 2011…The book is very well organized and well written, and covers many of the major topics of microarrays experiments … A nice feature of this book, and one which makes it very pleasant to read, is the use of full-color illustrations and plots, as well as boxes with some highlighted information, such as biological and statistical concepts. …—Guilherme J.M. Rosa, Biometrics, December 2010The target audience of this book is practicing biologists making use of microarray technology, but it may be of great interest to their statistician collaborators or statisticians new to the field. … When I began investigating bioinformatics as a statistics graduate student several years ago, it would have saved me a great deal of time to have a single resource such as this to help me understand this aspect of the field. … Chapter 5 … essentially serves as a catalog of commonly applied statistical methods for gene expression (or more generally, high-dimensional) data. The breadth of this catalog is impressive. … —Journal of the American Statistical Association, Sept. 2010, Vol. 105, No. 491"Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profling experiments and data analyses, this text tears down the omnipresent language barriers among molecular biology, bioinformatics,and biostatistics by explaining the entire process of a gene expression study from conception to conclusion."—Zentralblatt MATH

Hinrich Göhlmann and Willem Talloen work at Johnson & Johnson Pharmaceutical R&D as Principal Scientist and Senior Biostatistician, respectively.

• Biological question. Affymetrix microarrays. Running the experiment. Data analysis preparation. Data analysis. Presentation of results. Pharmaceutical R&D. Using R and Bioconductor. Future Perspectives.

… useful for practitioners working in gene expression studies … a valuable self-contained introductory material presenting all aspects of gene expression studies using Affymetrix microarrays. The book is well-arranged. The inserted boxes explaining biological or statistical concepts help to make the book very readable. … a well-written overview over a broad range of problems and solutions with the interpretation. …—ISCB News, No. 51, June 2011…The book is very well organized and well written, and covers many of the major topics of microarrays experiments … A nice feature of this book, and one which makes it very pleasant to read, is the use of full-color illustrations and plots, as well as boxes with some highlighted information, such as biological and statistical concepts. …—Guilherme J.M. Rosa, Biometrics, December 2010The target audience of this book is practicing biologists making use of microarray technology, but it may be of great interest to their statistician collaborators or statisticians new to the field. … When I began investigating bioinformatics as a statistics graduate student several years ago, it would have saved me a great deal of time to have a single resource such as this to help me understand this aspect of the field. … Chapter 5 … essentially serves as a catalog of commonly applied statistical methods for gene expression (or more generally, high-dimensional) data. The breadth of this catalog is impressive. … —Journal of the American Statistical Association, Sept. 2010, Vol. 105, No. 491"Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profling experiments and data analyses, this text tears down the omnipresent language barriers among molecular biology, bioinformatics,and biostatistics by explaining the entire process of a gene expression study from conception to conclusion."—Zentralblatt MATH