UniGene has also been used by experimentalists to select reagents for gene mapping projects and large-scale expression analysis.

Like all EST-based expression analysis, there are limitations for this in silico method.

Compared to expression analysis, phosphoproteomics provides two additional layers of information.

A frequent goal of expression analysis is to identify genes whose expression is altered by an experimental condition.

Similarly, expression analysis can provide insight into one potential source of functional differences between brain regions.

However, expression analysis of these genes did not provide evidence of down-regulation in CC cell lines.

Traditionally, micro-expressions are very difficult to recognize through automated facial expression analysis because of their short duration and involuntariness.

MAS4 algorithms for both absolute expression analysis and comparison analysis are included afterwards.

One usual attraction in expression analysis is to assume a normal distribution for probe intensities.

Available expression analysis is used to do global common subexpression elimination (CSE).