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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