Running this process for the DrosophilaAgingExample sample setting generates the tabbed Results window shown below. Refer to the Quantile Normalization process description for more information. Output from the process is organized into tabs. Each tab contains one or more plots, data panels, data filters, and so on, that facilitate your analysis.The Results window contains the following panes:This pane provides you with a space to view individual tabs within the Results window. Use the tabs to access and view the output plots and associated data sets.
• Residual Plots: This tab displays residual plots that provide you with a view of the systematic adjustment of the data done by quantile normalization. The magnitude of adjustment depends on the magnitude of intensity.
• Output Normalized Data Set: This data set (identified by the appended _quantile suffix) contains the normalized data. Values listed in the input data set have been replaced with quantile normalized data along with relative rank of each observation and residual data. . This data set can be used as input for a wide variety of analytical processes.Note: You should visually evaluate the results of this process using the Distribution Analysis process before using the normalized data in subsequent analyses. See Evaluation of Normalization Methods for a comparison of the different normalization methods with the sample data.
• Click to surface the data sets corresponding to the active tab.
• Click to reopen the completed process dialog used to generate this output.
• Click Create Report to generate a pdf- or rtf-formatted report containing the plots and charts of selected tabs.
• Click to close all graphics windows and underlying data sets associated with the output.