There is little to no expression data available for the gene, but most indications point to it being ubiquitously expressed throughout the body.

In this study, we have used expression data to rank candidate pathways of interacting proteins.

Models with better fits to the genome-wide expression data would thus have greater R -square values.

Their expression data show that receptors for these qualities are expressed in distinct populations of taste cells.

Thus, there is no advantage of either measure because of nearly identical performance on actual expression data (Figure 2a).

Ingenuity iReport is the fastest way to understand the biological meaning of expression data.

Therefore, it is a common practice to normalize expression data drawn from multiple profiles before making any reliable interpretation.

Although necessary, this type of analysis does not reveal the biological implications encrypted in expression data.

The expression data for array elements representing the same gene were averaged.

A complete analysis of genome-wide expression data involves numerous issues not discussed here.