1st Edition

Gene Expression Studies Using Affymetrix Microarrays

By Hinrich Gohlmann, Willem Talloen Copyright 2009
    359 Pages 80 Color Illustrations
    by Chapman & Hall

    360 Pages 80 Color Illustrations
    by Chapman & Hall

    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.

    Biological question

    Why gene expression?

    Biotechnological advancements

    Research Question

    Main types of research questions

    Affymetrix microarrays

    Probes

    Probe sets

    Array types

    Standard lab processes

    Affymetrix data quality

    Running the experiment

    Biological experiment

    Microarray experiment

    Data analysis preparation

    Data preprocessing

    Quality control

    Data analysis

    Why do we need statistics?

    The curse of high-dimensionality

    Gene filtering

    Unsupervised data exploration

    Detecting differential expression

    Supervised prediction

    Pathway analysis

    Other analysis approaches

    Presentation of results

    Data visualization

    Biological Interpretation

    Data publishing

    Reproducible research

    Pharmaceutical R&D

    The need for early indications

    Critical Path Initiative

    Drug Discovery

    Drug Development

    Clinical Trials

    Using R and Bioconductor

    R and Bioconductor

    R and Sweave

    R and Eclipse

    Automated array analysis

    Other software for microarray analysis

    Future Perspectives

    Co-analyzing different data types

    The microarrays of the future

    Next-gen sequencing: The end for microarrays?

    Bibliography

    Biography

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

    … 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