Create a scatter plot of log2 fold changes vs the mean expression signal.
make_MA(data, fdr = 0.05, label.rectangle = FALSE, top = 0, select.method = c("padj", "logfc"), main = NULL)
| data | 
  | 
    
|---|---|
| fdr | numerical value between 0 and 1 indicating the threshold false discovery rate for discovering differentially expressed genes. [DEFAULT = 0.05]  | 
    
| label.rectangle | logical indicating whether to add rectangles underneath gene names [DEFAULT = FALSE]  | 
    
| top | integer indicating the number of genes to label  | 
    
| select.method | Character string identifying the method of selecting the
top genes.  One of   | 
    
| main | character string giving the plot main title  | 
    
A ggplot2 object