Pqnorm

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Revision as of 14:05, 8 June 2015 by imported>Scott (Created page with "===Purpose=== Probabilistic Quotient Normalization for rows of a matrix. ===Synopsis=== :[sx,beta,xref] = pqnorm(x) :[sx,beta,xref] = pqnorm(x,xref) ===Description=== A r...")
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Purpose

Probabilistic Quotient Normalization for rows of a matrix.

Synopsis

[sx,beta,xref] = pqnorm(x)
[sx,beta,xref] = pqnorm(x,xref)

Description

A robust normalization method similar to Multiplicative Scatter Correction but using the median as the target and a robust fitting of each row to the target. PQN is equivalent to performing a 1-norm on the rows of X, followed by a robust MSC (algorithm = median, see mscorr).

Inputs

  • x = Matrix of data to normalize (double).

Optional Inputs

  • xref = Reference spectrum to normalize to (used for applying previously calculated normalization target to new data).