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Normalization methods in RNA-Seq analysis
In previous POST, we discussed several possible bias sources and how to correct them. Here Ghost wanna talk about two other bias that must be normalized in every RNA-Seq analysis. Heteroscedasticity issue For genes that are highly expressed, their high expression count usually yield large variation from sample to sample within the same group. Besides, the small amount of highly expressed gene usually skew the expression distribution and make the analysis / visualization harde