One-way ANOVA test

Description

This module performs One-way analysis of variance (abbreviated ANOVA) test on the intensities of aligned features and calculates the corresponding p-values.

The ANOVA technique is used to compare mean intensities of two or more groups of raw data files. The groups of raw data files are specified by a user. Then ANOVA tests the null hypothesis that the intensities of aligned features have the same mean values in all groups. The ANOVA produces an F-statistic and the corresponding p-value. If p-value is close to zero (typically less than 0.05), then the intensities of aligned features are significantly different in two or more groups.

Example

  1. Set a group parameter for each raw data file. Choose menu "Project -> Set sample parameters". In the window Setup project parameters and values, click button "Add new parameter". In the window Define new project parameter, give a name to the parameter and add its values. Finally, in the window Setup project parameters and values, assign a value to each raw data file.

    User parameters

  2. Perform One-way ANOVA test. In the right pane of the main window, select an aligned peak list and choose menu "Peak list methods -> Data analysis -> One-way ANOVA test." In the field Sample parameter, select the name of the parameter that you specified in the previous step, and click button OK.

    ANOVA test

  3. Export results. In the right pane of the main window, select an aligned peak list and choose menu "Peak list methods -> Export/Import -> Export to CSV file." In the parameters window, check the option "Export quantitation results and other information." The exported CSV file will contain column ANOVA_P_VALUE with the p-values produced by the one-way ANOVA test.

    CSV Export
    CSV Export