Powerful specialized software is essential for managing, quantifying, and ultimately deriving
scientific insight from results of a microarray experiment. We have developed a suite of …

Functional genomics is the study of gene function through the parallel expression
measurements of genomes, most commonly using the technologies of microarrays and …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

A reliable and precise classification of tumors is essential for successful diagnosis and
treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel …

Philosopher, sociologist and urban theorist, Henri Lefebvre is one of the great social
theorists of the twentieth century. This accessible and innovative introduction to the work of …

DNA microarrays are part of a new and promising class of biotechnologies that allow the
monitoring of expression levels in cells for thousands of genes simultaneously. An important …

Motivation: Microarray data must be background corrected to remove the effects of non-
specific binding or spatial heterogeneity across the array, but this practice typically causes …

Background Microarray technology is increasingly being applied in biological and medical
research to address a wide range of problems, such as the classification of tumors. An …

Vitamin C deficiency in the Arabidopsis mutant vtc1 causes slow growth and late flowering.
This is not attributable to changes in photosynthesis or increased oxidative stress. We have …

This book establishes the theoretical foundations of a general methodology for multiple
hypothesis testing and discusses its software implementation in R and SAS. The methods …