Knowledge of transcription of the human genome might greatly enhance our understanding
of cancer. In particular, gene expression may be used to predict the survival of cancer …

In this review, we have discussed the class-prediction and discovery methods that are
applied to gene expression data, along with the implications of the findings. We attempted to …

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 …

Mixture modeling provides an effective approach to the differential expression problem in
microarray data analysis. Methods based on fully parametric mixture models are available …

Dietary supplementation of glutamine prevents intestinal dysfunction and atrophy in
weanling piglets, but the underlying mechanism (s) are largely unknown. This study was …

Mass spectrometry-based proteomics has become the tool of choice for identifying and
quantifying the proteome of an organism. Though recent years have seen a tremendous …

High-content, high-density long or short oligonucleotide microarrays for simultaneous
measurement of redundancy of RNA species are nowadays widely used for hypothesis …

This article describes the theoretical and practical issues in experimental design for gene
expression microarrays. Specifically, this article 1) discusses the basic principles of design …

After genomic sequencing, microarray technology has emerged as a widely used platform
for genomic studies in the life sciences. Microarray technology provides a systematic way to …

An exciting biological advancement over the past few years is the use of microarray
technologies to measure simultaneously the expression levels of thousands of genes. The …