Výsledky vyhledávání - "Amélia Somensi-Zeggio"

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

Autor: Sara Correia, Amélia Somensi-Zeggio, Simone Kobe de Oliveira, Ana C. M. Zeri, Marcelo Maraschin, Shirley Kuhnen, Josiane C. Raguzzoni, Miguel Rocha, Christopher Costa, Rafael Carreira, Maíra M. Tomazzoli

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific produc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af24df8bfc2e28fa456d5fe65a59f91

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A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data – A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis

Autor: Rafael Carreira, Amélia Somensi-Zeggio, Ana C. M. Zeri, Marcelo Maraschin, Shirley Kuhnen, Miguel Rocha, Maíra M. Tomazzoli, Simone Kobe de Oliveira

Publikováno v: Pattern Recognition in Bioinformatics ISBN: 9783642341229
PRIB

In this work, a metabolomics dataset from 1H nuclear magnetic resonance spectroscopy of Brazilian propolis was analyzed using machine learning algorithms, including feature selection and classification methods. Partial least square-discriminant analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07bca740edc7533558c85c1d4ce924b0
https://doi.org/10.1007/978-3-642-34123-6_12

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