Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Normalisation, binning (code available) #180

Open
mfitzp opened this issue Apr 5, 2015 · 1 comment
Open

Normalisation, binning (code available) #180

mfitzp opened this issue Apr 5, 2015 · 1 comment

Comments

@mfitzp
Copy link

mfitzp commented Apr 5, 2015

Hello, as part of doing a PhD in metabolomics I've created a few scripts for NMR spectral processing which may be generally applicable enough to be a useful addition to this library (I was looking on PyPi to see if this already existed when I found your project). The algorithms include...

  • Normalisation via Total Spectral Area (TSA) and Probabilistic Quotient Normalization (PQN) [1]
  • Reference peak normalisation (area, maxima)
  • Binning (spectral resolution reduction) by axis

They all function on Pandas dataframes as they are so I would expect the conversion to be relatively easy. Do they seem a good fit for this library?

@hughesadam87
Copy link
Owner

Hi,

Sorry I never saw this message. I think if you wanted to create an NMR-specific object, that would be great. Are you still available, or have I missed that window?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants