Author

Cosme Damião Cruz

Universidade Federal de ViçosaORCID 0000-0003-3513-3391Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Research Focus:genome assembly· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amanda Gonçalves GuimarãesiD· 1 shared Anderson Barbosa EvaristoiD· 1 shared Antônio Carlos da Silva JúnioriD· 1 shared Gabi Nunes SilvaiD· 1 shared Isabela de Castro Sant’Anna· 1 shared José Barbosa dos SantosiD· 1 shared Leonardo Lopes BheringiD· 1 shared Moysés NascimentoiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Amanda Gonçalves GuimarãesORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintJan 31, 2024

Trait prediction through computational intelligence and machine learning applied to soybean (Glycine max) breeding in shaded environments

Antônio Carlos da Silva Júnior, Weverton Gomes da Costa, Amanda Gonçalves Guimarães…·Anderson Barbosa Evaristo

This paper uses machine learning to predict soybean grain yield under different shading levels, finding plant height as the most predictive trait.

DOI 10.1101/2024.01.31.578252

plant (other)machine learning (classical)

𝕏 PostBluesky

GeneticsActa Scientiarum AgronomyPeer-reviewedAug 17, 2020

Subset selection of markers for genome-enabled prediction of genetic val-ues using radial basis function neural networks

Isabela de Castro Sant’Anna, Gabi Nunes Silva, Moysés Nascimento, Cosme Damião Cruz

The paper evaluates using radial basis function neural networks (RBFNN) with marker subset selection for genome-enabled prediction of genetic values, showing improved accuracy and reduced error compared to RR-BLUP.

15 citations

whole-genome sequencingmachine learning (classical)

𝕏 PostBluesky