I am tying to filter some genes after normalizing them. I came across two methods in dchip. One using a CV cutoff (standard deviation/mean) and the other Percentile Filtering technique. I could not find my explanation regarding this, especially Percentile Filtering. When do we apply which method and what is the outcome ?...my datasets corresponds to plant in normal and drought condition and I want to cluster the genes using WGCNA. Any suggestion would be greatly appreciated.