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Hello there,
i got several datasets of normalized RNA-seq experiments. Those normalization was done via RPKM. Unfortunately, the values are sometimes quite high, other times really really small such that visualizing them is kinda rough since proportions brake down. For that z-score normalization came into my mind. Why z-score normalisation: First a std. distribution is given under the terms of RPKM values. 2nd: Calculating p-values from z-scores is rather easy and third: in my (humble) opinion it does not falsify the relationships between certain gene abundances since it's a global method.
Your opinion on that is greatly appreciated!!!
Best,
phil
i got several datasets of normalized RNA-seq experiments. Those normalization was done via RPKM. Unfortunately, the values are sometimes quite high, other times really really small such that visualizing them is kinda rough since proportions brake down. For that z-score normalization came into my mind. Why z-score normalisation: First a std. distribution is given under the terms of RPKM values. 2nd: Calculating p-values from z-scores is rather easy and third: in my (humble) opinion it does not falsify the relationships between certain gene abundances since it's a global method.
Your opinion on that is greatly appreciated!!!
Best,
phil