This function is one of three methods to perform meta-analysis. Here, significant features are selected based on a selected criteria (i.e. an adjusted p-value <0.05 and the same direction of FC) for each dataset. The votes are then calculated for each feature by counting the total of number of times a feature is significant across all included datasets. However, this method is statistically inefficient and should be considered the last resort in situations where other methods to perform meta-analysis cannot be applied.
PerformVoteCounting(mSetObj = NA, BHth = 0.05, minVote)Input name of the created mSet Object.
Numeric input to set the significance level. By default it is 0.05.
Numeric input to set the minimum vote-count.