Author

Paulo de Souza Gonçalves

ORCID 0000-0002-5019-1832Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Organism:multiple species· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexandre Hild AonoiD· 1 shared Anete Pereira de SouzaiD· 1 shared Erivaldo José ScaloppiiD· 1 shared Felipe Roberto FranciscoiD· 1 shared Gregor GorjanciD· 1 shared Livia Moura SouzaiD· 1 shared Marcos G. QuilesiD· 1 shared Roberto Fritsche‐NetoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Alexandre Hild AonoORCID

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1 paper

Recent·Most cited

A divide-and-conquer approach for genomic prediction in rubber tree using machine learning

Alexandre Hild Aono, Felipe Roberto Francisco, Livia Moura Souza, Paulo de Souza Gonçalves, Erivaldo José Scaloppi, Vincent Le Guen, Roberto Fritsche‐Neto, Gregor Gorjanc, Marcos G. Quiles, Anete Pereira de Souza

This paper develops a machine learning approach for predicting rubber tree stem circumference using molecular markers, achieving higher accuracy than traditional models in a single-environment scenario.

Scientific Reports · Oct 26, 2022Peer-reviewedGenetics