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.
Statistical Genomics, Centro Nacional de Análisis Genómico, Barcelona, Catalonia, Spain.
Emanuele
E
Raineri
Statistical Genomics, Centro Nacional de Análisis Genómico, Barcelona, Catalonia, Spain.
Marc
M
Dabad
Statistical Genomics, Centro Nacional de Análisis Genómico, Barcelona, Catalonia, Spain.
Simon
S
Heath
D001499:Bayes Theorem; D019175:DNA Methylation / Q000235:genetics*; D016678:Genome / Q000235:genetics*; D023281:Genomics / Q000379:methods; D008957:Models, Genetic; D011336:Probability