Marcelo Maraschin

Orcid: 0000-0002-4146-4835

According to our database1, Marcelo Maraschin authored at least 19 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Exploratory and discriminant analysis of plant phenolic profiles obtained by UV-vis scanning spectroscopy.
J. Integr. Bioinform., 2021

Computational Tools for the Analysis of 2D-Nuclear Magnetic Resonance Data.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2021

2018
17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

In Silico Predictions for Fucoxanthin Production by the Diatom Phaeodactylum Tricornutum.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

2017
A Chemometrics Approach for Nuclear Magnetic Resonance Data to Characterize the Partial Metabolome Banana Peels from Southern Brazil.
J. Integr. Bioinform., 2017

UV-Vis and CIELAB Based Chemometric Characterization of Manihot esculenta Carotenoid Contents.
J. Integr. Bioinform., 2017

Influence of Solar Radiation on the Production of Secondary Metabolites in Three Rice (Oryza sativa) Cultivars.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

Classification Tools for Carotenoid Content Estimation in Manihot esculenta via Metabolomics and Machine Learning.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

UV-Vis Spectrophotometry and Chemometrics as Tools for Recognition of the Biochemical Profiles of Organic Banana Peels (Musa sp.) According to the Seasonality in Southern Brazil.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

Characterization of the Chemical Composition of Banana Peels from Southern Brazil Across the Seasons Using Nuclear Magnetic Resonance and Chemometrics.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

2016
An R package for the integrated analysis of metabolomics and spectral data.
Comput. Methods Programs Biomed., 2016

2015
Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data.
J. Integr. Bioinform., 2015

UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz).
J. Integr. Bioinform., 2015

UV-Visible Scanning Spectrophotometry and Chemometric Analysis as Tools to Build Descriptive and Classification Models for Propolis from Southern Brazil.
Proceedings of the 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2015

UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles.
Proceedings of the 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2015

Carotenoid Analysis of Cassava Genotypes Roots (Manihot Esculenta Crantz) Cultivated in Southern Brazil Using Chemometric Tools.
Proceedings of the 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2015

An Integrated Computational Platform for Metabolomics Data Analysis.
Proceedings of the 9th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2015

2014
Discrimination of Brazilian Cassava Genotypes (Manihot esculenta Crantz) According to Their Physicochemical Traits and Functional Properties through Bioinformatics Tools.
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

2012
A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data - A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis.
Proceedings of the Pattern Recognition in Bioinformatics, 2012


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