Gene Expression Studies Using Affymetrix Microarrays
Seiten
2009
Chapman & Hall/CRC (Verlag)
978-1-4200-6515-2 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-4200-6515-2 (ISBN)
Gene expression studies merge three disciplines with different historical backgrounds: molecular biology, bioinformatics, and biostatistics. This book explains the entire process of a gene expression study from conception to interpretation. It describes technical and statistical methods conceptually with illustrative examples.
The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data analyses, Gene Expression Studies Using Affymetrix Microarrays 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.
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.
The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data analyses, Gene Expression Studies Using Affymetrix Microarrays 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.
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.
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.
| Erscheint lt. Verlag | 15.7.2009 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Computational Biology Series |
| Zusatzinfo | 14 Tables, color; 80 Illustrations, color |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 703 g |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| ISBN-10 | 1-4200-6515-7 / 1420065157 |
| ISBN-13 | 978-1-4200-6515-2 / 9781420065152 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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