Microarrays measure values that are approximately proportional to the numbers of copies of
different mRNA molecules in samples. Due to technical difficulties, the constant of …

Background Normalization is the process of removing non-biological sources of variation
between array experiments. Recent investigations of data in gene expression databases for …

Data from gene expression arrays are influenced by many experimental parameters that
lead to variations not simply accessible by standard quantification methods. To compare …

Motivation: A major challenge in utilizing microarray technologies to measure nucleic acid
abundances is 'normalization', the goal of which is to separate biologically meaningful signal …

Affymetrix high-density oligonucleotide array is a tool that has the capacity to simultaneously
measure the abundance of thousands of mRNA sequences in biological samples. In order to …

To overcome random experimental variation, even for simple screens, data from multiple
microarrays have to be combined. There are, however, systematic differences between …

Motivation: Pixel saturation occurs when the pixel intensity exceeds a threshold and the
recorded pixel intensity is truncated. Microarray experiments are commonly afflicted with …

Background With the advent of DNA hybridization microarrays comes the remarkable ability,
in principle, to simultaneously monitor the expression levels of thousands of genes. The …

Over the last decade or so, there have been large numbers of methods published on
approaches for normalization, variable (gene) selection, classification and clustering of …

Background It is well known that the normalization step of microarray data makes a
difference in the downstream analysis. All normalization methods rely on certain …