Significats de microarray experiments en anglès

Background: Post-hybridization washing is an essential part of microarray experiments.

A mixed-model approach is proposed for identifying differential gene expression in cDNA microarray experiments.

These programs have accelerated and enhanced our interpretation of results from E. coli DNA microarray experiments.

High-throughput microarray experiments often generate far more biological information than is required to test the experimental hypotheses.

We also investigate the impacts of various source variations resulting from microarray experiments on the efficiency of DEG identification.

Results: This article presents a novel technique to cluster data from time course microarray experiments performed across several experimental conditions.

Annotation of all Arabidopsis genes will allow quantitative comparisons between sets of genes derived from sources such as microarray experiments.

When RNA degradation effects are detected in microarray experiments, a correction of the induced bias in probe intensities is advised.

Conclusion: The quality of microarray experiments and the normalization methods used affect the ability to measure accurate changes in gene expression.

The correlation between the results of microarray experiments derived from non-amplified RNA and amplified samples needs to be evaluated in detail.

The greatest gain in performance was for the sample size case which makes the application of the rank test ideal for microarray experiments.

Here, we demonstrated the use of formalin-fixed paraffin-embedded tissues in microarray experiments to identify genes differentially expressed between cancerous and normal oral tissues.

An important role is hypothesized for five PS genes belonging to the transport category that had been previously identified as differentially expressed in microarray experiments.

Meta-analysis techniques are designed to overcome the low sample size typical to microarray experiments and yield more valid and informative results than each experiment separately.

It then uses inverse deduction to hypothesize which genes are expressed as which proteins, designs microarray experiments to test them, revises its hypotheses, and repeats.

RNA samples from the cloned cells were used in DNA microarray experiments to study the effect of upd(15)mat on the gene expression pattern of fibroblasts.