Author

Marcos G. Quiles

Universidade Federal de São PauloORCID 0000-0001-8147-554XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexandre Hild AonoiD· 2 shared Anete Pereira de SouzaiD· 2 shared Ana Letycia Basso GarciaiD· 1 shared Cláudio Benício Cardoso-SilvaiD· 1 shared Danilo Augusto SforçaiD· 1 shared Erivaldo José ScaloppiiD· 1 shared Felipe Roberto FranciscoiD· 1 shared Fernando Henrique CorreriD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenetics

Alexandre Hild AonoORCID

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2 papers

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

The sugarcane and sorghum kinomes: insights into evolutionary expansion and diversification

Alexandre Hild Aono, Ricardo José Gonzaga Pimenta, Ana Letycia Basso Garcia, Fernando Henrique Correr, Guilherme Kenichi Hosaka, Marishani Marin Carrasco, Cláudio Benício Cardoso-Silva, Melina Cristina Mancini, Danilo Augusto Sforça, Lucas Borges Dos Santos, James Shiniti Nagai, Luciana Rossini Pinto, Marcos Guimarães de Andrade Landell, Monalisa Sampaio Carneiro, Thiago Willian Almeida Balsalobre, , Anete Pereira de Souza

This study profiles the kinomes of sugarcane and sorghum, identifying PKs and their evolutionary relationships, and provides expression patterns and coexpression networks.

Frontiers in Plant Science · Jul 7, 2021Peer-reviewedGenomics