Gene Expression Studies Using Affymetrix Microarrays: Chapman & Hall/CRC Computational Biology Series
Autor Hinrich Gohlmann, Willem Talloenen Limba Engleză Paperback – 3 noi 2017
Truly Multidisciplinary: Merges Molecular Biology, Bioinformatics, and Biostatistics
This authoritative resource covers important technical and statistical pitfalls and problems, helping not only to explain concepts outside the domain of researchers, but to provide additional guidance in their field of expertise. The book also describes technical and statistical methods conceptually with illustrative, full-color examples, enabling those inexperienced with gene expression studies to grasp the basic principles.
Gene Expression Studies Using Affymetrix Microarrays provides novices with a detailed, yet focused introductory course and practical user guide. Specialized experts will also find it useful as a translation dictionary to understand other involved disciplines or to get a broader picture of microarray gene expression studies in general. Although focusing on Affymetrix gene expression, this globally relevant guide covers topics that are equally useful for other microarray platforms and other Affymetrix applications.
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Specificații
ISBN-13: 9781138112315
ISBN-10: 1138112313
Pagini: 359
Ilustrații: full color book; 14 Tables, color; 80 Illustrations, color
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computational Biology Series
ISBN-10: 1138112313
Pagini: 359
Ilustrații: full color book; 14 Tables, color; 80 Illustrations, color
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computational Biology Series
Public țintă
Professional and Professional Practice & DevelopmentCuprins
Biological question. Affymetrix microarrays. Running the experiment. Data analysis preparation. Data analysis. Presentation of results. Pharmaceutical R&D. Using R and Bioconductor. Future Perspectives.
Notă biografică
Hinrich Göhlmann and Willem Talloen work at Johnson & Johnson Pharmaceutical R&D as Principal Scientist and Senior Biostatistician, respectively.
Recenzii
… 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 2010
The 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
—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 2010
The 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
Descriere
Though Affymetrix GeneChip® system is one of the most widely adapted microarray platforms, due to the preponderance of available information many researchers compromise their findings by never going beyond the system’s default settings. Explaining the entire process of a gene expression study from conception to conclusion, this multidisciplinary work offers valuable instruction and insight for novice and experienced researchers alike. The authors show how to optimize experiments and data analysis using Affymetrix as well as other microarray platforms, and explain various analysis methods via illustrative examples using R and BioConductor.