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Methods of Microarray Data Analysis IV (Paperback, 2005 ed.)
Loot Price: R2,951
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Methods of Microarray Data Analysis IV (Paperback, 2005 ed.)
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As studies using microarray technology have evolved, so have the
data analysis methods used to analyze these experiments. The CAMDA
conference plays a role in this evolving field by providing a forum
in which investors can analyze the same data sets using different
methods. Methods of Microarray Data Analysis IV is the fourth book
in this series, and focuses on the important issue of associating
array data with a survival endpoint. Previous books in this series
focused on classification (Volume I), pattern recognition (Volume
II), and quality control issues (Volume III). In this volume, four
lung cancer data sets are the focus of analysis. We highlight three
tutorial papers, including one to assist with a basic understanding
of lung cancer, a review of survival analysis in the gene
expression literature, and a paper on replication. In addition, 14
papers presented at the conference are included. This book is an
excellent reference for academic and industrial researchers who
want to keep abreast of the state of the art of microarray data
analysis. Jennifer Shoemaker is a faculty member in the Department
of Biostatistics and Bioinformatics and the Director of the
Bioinformatics Unit for the Cancer and Leukemia Group B Statistical
Center, Duke University Medical Center. Simon Lin is a faculty
member in the Department of Biostatistics and Bioinformatics and
the Manager of the Duke Bioinformatics Shared Resource, Duke
University Medical Center.
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