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The pvalues for neighbouring positions are highly correlated, thus violating the assumptions of Fisher's method for combining p-values.
Based on the benchmarking done in this paper, Hou's method seems the best solution.
The text was updated successfully, but these errors were encountered:
That is absolutely True. Another option, at least for the kmean strategy, is a multidimentional kmean combining all adjacent positions instead of position per position and then combining pvalues.
The pvalues for neighbouring positions are highly correlated, thus violating the assumptions of Fisher's method for combining p-values.
Based on the benchmarking done in this paper, Hou's method seems the best solution.
The text was updated successfully, but these errors were encountered: