Normalize Plates (Z-Score)

Groups of data (e.g. wells of a plates) are normalized relative to a subset (e.g. some wells within that plate, e.g. negative control). For each group mean and standard deviation (or median and mad) are calculated for the selected subset. Based on these estimates, all data points of a group are normalized by applying this formula:

x.zscore = (x – mean(x[subset]))/sd(x[subset])
or
x.zscore = (x – median(x[subset]))/mad(x[subset])

Literature: Malo et al., Nat. Biotechnol. 24, 167-179 (2006)
Wikipedia: Z-score / Standard score

Input ports

1. Type: Table
   Raw data
   Input table

Output ports

1. Type: Table
   Normalized data
   Table with normalized values
2. Type: Table
   Statistic
   Table with statistics used for normalization