Skip to content

Targeted MS: Peak deconvolution based on iterative least squares using log-normal distribution and limited-BFGS optimiser (tensorflow, scipy). De-noising and chromatogram consensus peak modelling using autoencoders (tensorflow). Interactive graphics for the identification of the optimal surrogate internal standard.

Notifications You must be signed in to change notification settings

tkimhofer/trp_tq

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 

About

Targeted MS: Peak deconvolution based on iterative least squares using log-normal distribution and limited-BFGS optimiser (tensorflow, scipy). De-noising and chromatogram consensus peak modelling using autoencoders (tensorflow). Interactive graphics for the identification of the optimal surrogate internal standard.

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages