Author

Priscila T. M. Saito

Universidade Federal de São CarlosORCID 0000-0002-4870-4766Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:DNA methylation· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alexandre Rossi PaschoaliD· 2 shared Pedro H. BugattiiD· 2 shared Alisson Gaspar ChiquittoiD· 1 shared Douglas Silva DominguesiD· 1 shared Liliane Santana OliveiraiD· 1 shared Mark BashamiD· 1 shared Murilo Horacio Pereira da CruziD· 1 shared Roberto Tadeu RaittziD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Alexandre Rossi PaschoalORCID

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2 papers

Recent·Most cited

Generative Approaches for Nucleotide Sequences to Enhance Non-coding RNA Classification

Alisson Gaspar Chiquitto, Liliane Santana Oliveira, Pedro H. Bugatti, Priscila T. M. Saito, Mark Basham, Roberto Tadeu Raittz, Alexandre Rossi Paschoal

This study introduces GENNUS, a generative approach using GANs and SMOTE to improve ncRNA classification by addressing class imbalance through synthetic data generation.

NAR Genomics and Bioinformatics · Mar 29, 2025Peer-reviewedBioinformatics

TERL: Classification of Transposable Elements by Convolutional Neural Networks

Murilo Horacio Pereira da Cruz, Douglas Silva Domingues, Priscila T. M. Saito, Alexandre Rossi Paschoal, Pedro H. Bugatti

TERL classifies transposable elements using CNNs, achieving high accuracy and speed across multiple datasets and classification levels.

Briefings in Bioinformatics · Jul 22, 2020Peer-reviewedBioinformatics