A note on exact differences between beta distributions in genomic (Methylation) studies
We apply a known algorithm for computing exactly inequalities between Beta distributions to
assess whether a given position in a genome is differentially methylated across samples.
We discuss the advantages brought by the adoption of this solution with respect to two
approximations (Fisher's test and Z score). The same formalism presented here can be
applied in a similar way to variant calling.
assess whether a given position in a genome is differentially methylated across samples.
We discuss the advantages brought by the adoption of this solution with respect to two
approximations (Fisher's test and Z score). The same formalism presented here can be
applied in a similar way to variant calling.
We apply a known algorithm for computing exactly inequalities between Beta distributions to assess whether a given position in a genome is differentially methylated across samples. We discuss the advantages brought by the adoption of this solution with respect to two approximations (Fisher's test and Z score). The same formalism presented here can be applied in a similar way to variant calling.
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