Abstract limma is an R/Bioconductor software package that provides an integrated solution
for analysing data from gene expression experiments. It contains rich features for handling …

A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing
Microarray Gene Expression Data provides a comprehensive review of available …

To date, mass spectrometry (MS) data remain inherently biased as a result of reasons
ranging from sample handling to differences caused by the instrumentation. Normalization is …

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 …

There are many sources of systematic variation in cDNA microarray experiments which
affect the measured gene expression levels (eg differences in labeling efficiency between …

Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current
methods for assessing differential expression are not able to make full use of the resulting …

Normalization means to adjust microarray data for effects which arise from variation in the
technology rather than from biological differences between the RNA samples or between the …

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 …