Results generated with the use of microarrays should be properly described and deposited in one of the public databases prior to review. We examine the last two years of the journal's publications ...

The main steps involved and limitations of microarray analysis will be encountered. Two stages can be distinguished in microarray experiments: a pre-microarray experiment phase (tissue handling ...

The first step in using a microarray is to collect healthy and cancerous tissue samples from the patient. This way, doctors can look at what genes are turned on and off in the healthy cells ...

Time course microarray experiments designed to characterize the dynamic regulation of gene expression in biological systems are becoming increasingly important. One critical issue that arises when ...

Quality control of microarray experiments Optimizing array experiments at the front end reduces the time and effort required to subsequently invalidate erroneous expression results.

Gene expression microarray experiments are intrinsically two-phase experiments. Messenger RNA (mRNA), required for the microarray experiment, must first be derived from plants or animals that are ...

Microarrays allow scientists to see how differences in gene expression are linked to specific diseases. Improving and standardizing microarray experiments will also allow earlier detection of ...

Data analysis for gene expression microarrays is an evolving field, Dr. Amaratunga emphasizes. “The technology is improving and people are running experiments with greater precision, but the ...

The new method, which blends experiment and computation, strengthens DNA microarray analysis, according to its Carnegie Mellon University inventor, who is publishing his findings in the December ...

Microarrays allow scientists to see how differences in gene expression are linked to specific diseases. Improving and standardizing microarray experiments will also allow earlier detection of ...

An article published in the journal Bioinformatics & Biology Insights describes how researchers from the University of Munich compare in a meta-analysis of a large series of microarray experiments the ...

The high-throughput nature of microarray experiments imposes numerous limitations, which apply to simple issues such as sample acquisition and data mining, to more controversial issues that relate ...