Author

Matheus Silva de Deus

Universidade Estadual de Campinas (UNICAMP)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ana Luíza SeidingeriD· 1 shared Andréia M. PorcariiD· 1 shared Denise Ribeiro· 1 shared Felipe Cavalaro· 1 shared Hélio PedriniiD· 1 shared Izilda Aparecida CardinalliiD· 1 shared João MeidânisiD· 1 shared Luciano de Souza QueiróziD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ana Luíza SeidingerORCID

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Author profile →

1 paper

Recent·Most cited

Deep Learning Outperforms Classical Machine Learning Methods in Pediatric Brain Tumor Classification through Mass Spectra

Thais Maria Santos Bezerra, Matheus Silva de Deus, Felipe Cavalaro, Denise Ribeiro, Ana Luíza Seidinger, Izilda Aparecida Cardinalli, Andréia M. Porcari, Luciano de Souza Queiróz, Hélio Pedrini, João Meidânis

This study shows deep learning methods are better than classical machine learning at classifying pediatric brain tumor tissue using mass spectra from DESI-MSI.

Intelligence-Based Medicine · Jan 1, 2024Peer-reviewedBioinformatics