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pro vyhledávání: '"Fatemeh Golpelichi"'
Autor:
Fatemeh Golpelichi, Hadi Parastar
Publikováno v:
Journal of the American Society for Mass Spectrometry. 34:236-244
In the present contribution, a novel approach based on multivariate curve resolution and deep learning (DL) is proposed for quantitative mass spectrometry imaging (MSI) as a potent technique for identifying different compounds and creating their dist
Recent trends in application of chemometric methods for GC-MS and GC×GC-MS-based metabolomic studies
Publikováno v:
TrAC Trends in Analytical Chemistry. 138:116239
Metabolomics is the science of studying small molecules (metabolites) in biological systems with the aim of getting insight into cells, biofluids and organisms. Chemometric methods are powerful tools to address data problems generated in metabolomic