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Figure 1 | BMC Bioinformatics

Figure 1

From: Strategies for aggregating gene expression data: The collapseRows R function

Figure 1

Example pipeline for using collapseRows functions. The collapseRows function could be used in two steps of a pipeline for finding predictors of a clinical outcome. First, probes could be collapsed into genes by taking the probe with the highest expression (1.max strategy) to allow comparability of data run using several microarray platforms (or RNAseq). These data could then be combined into a consensus module. Second, modules from the resulting network could be summarized using the the most highly connected gene (3.kMax strategy), some of which will likely be related to clinical outcomes.

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