Sources of variation in microarray experiments. The design of a two-color microarray experiment can be considered as having three layers. Figure 1 shows an example of an experiment that compares ...

Microarray experiments are used to quantify and compare gene expression on a large scale. As with all large-scale experiments, they can be costly in terms of equipment, consumables and time.

As the cDNA microarray era progressed, it was noted that the reference design was not the optimal experimental design for all experiments. A commentary by Dobbin et al. ( 5 ) provides an in-depth ...

Abstract: Microarray experiments have become the centerpiece of genetic and genomic studies. The great advantage of such experiments is that they allow simultaneous examination of expression levels of ...

Collectively, innovations outlined in our work constitute a significant contribution to the field of microarray image denoising, influencing the cost-effectiveness of microarray experiments and thus ...

This paper proposes a genetic algorithm to find the optimal array sets for microarray experimental design problems. Based on family competition, heterogeneous pairing selection and two new genetic ...

The assessment of performance is challenging because of the complicated nature of microarray experiments and the many different technology platforms. ... Design issues for cDNA microarray experiments.

June 1, 2005 (Vol. 25, No. 11) A Case Study Using GeneDirector LIMS In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates ...