Pqnorm: Difference between revisions
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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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* '''''xref''''' = Reference spectrum to normalize to (used for applying previously calculated normalization target to new data). | * '''''xref''''' = Reference spectrum to normalize to (used for applying previously calculated normalization target to new data). | ||
====Outputs==== | |||
* '''sx''' = Corrected spectra. | |||
* '''beta''' = The multiplicative scatter factor/slope. | |||
* '''xref''' = The reference spectrum used. | |||
===See Also=== | |||
[[mscorr]], [[normaliz]], [[snv]] | |||
Latest revision as of 14:08, 8 June 2015
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).
Outputs
- sx = Corrected spectra.
- beta = The multiplicative scatter factor/slope.
- xref = The reference spectrum used.