FAQ       Help    How is the z-score normalization (mean=0, Var=1) done in Qlucore Omics Explorer? Question ID 103 Category Qlucore Omics Explorer   Analysis Date Created 2015-04-22 09:32:48 Date Updated 2024-11-22 13:07:51 I would like to know how do you do the normalization, Mean = 0 and Var = 1. Answer The normalization is standard score (z-score) normalization applied for each variable over all samples. I.e. assuming we have N samples, then for each variable let { x_i, i = 0...N-1 } be the corresponding variable values over the samples and m = mean(x) = SUM(x_i / N) s = std(x) = sqrt( SUM( (x_i - m)^2 / (N - 1) ) ) The normalized variable values y_i are then computed as y_i = (x_i - m) / s Related articles Normalization Z-score (mean=0, var=1) calculations Agilent arrays Data pre-processing for expression data How does Qlucore calculate the length of the gene to do the normalization? Normalization of imported RNA-seq data Normalization of RNAseq data in Qlucore Omics Explorer Normalization using housekeeping genes Normalizing PCR (QPCR or Q-PCR) data Quantile normalization and eliminated factors TPM values for RNASeq Was this information helpful?   Back to Search Results