normalise.m allows normalisation of data using various options
Supported normalisation: signal sum, probabilistic quotient, signal
maximum, relative signal sum
Syntax
normalisedData = normalise(data,'type',TypeValue)
- data: matrix (N X M)containing N samples and M variables. For
probabilistic quotient normalisation, the first sample is taken as
reference spectrum.
- TypeValue: 'sum', 'pqn', 'max', 'rel'
Cite As
Joris Meurs (2024). normalise (https://github.com/jorismeurs/normalise), GitHub. Retrieved .
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0 |
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