Sentence examples for multiple probesets were from inspiring English sources

Where multiple probesets were available for a given gene, the probeset with the best target region overlap with the nCounter target region was chosen.

Furthermore, we considered the issue of probeset redundancy, combining the expression data when multiple probesets were annotated to the same gene.

In cases where multiple probesets were available for a given gene, the probe set having the maximum present call percentage across the complete database was considered.

Genes with multiple probesets were assigned a single expression value by taking the median value for the probesets assigned to that gene.

When multiple ProbeSets were present for a single Entrez Gene ID they were collapsed by selecting the ProbeSet with the minimum p-value.

Genes represented by multiple probesets were averaged, and expression values were scaled to the probeset with the maximal variance for that gene.

When multiple probesets are available, all are analyzed separately, and differences among all pairs of CD44/CD24 probesets are analyzed separately.

Although multiple probesets are designed within the same exon, probeset intensities represent the expression levels of exons.

Importantly, using the gene name as an identifier, it is clear that multiple probesets are present for many genes but that these replicate probesets may not always generate similar detection rates.

An important issue associated with all three of these approaches for handling multiple probesets for any individual gene is that if heterogeneous evidence for differential expression across multiple probesets is the result of alternative splicing or incorrect unigene cluster assignment, any conclusion about the expression of that gene as a single entity will be invalid.

The robust multichip average (RMA) and quantile normalization method were applied to normalize the data, and the expressions of multiple probesets are summarized to the expression of corresponding genes using Expander, then GIENA and traditional GAS were used to detect dysregulated pathways.