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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.
tkimhofer/trp_tq
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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.
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