Author

Nayane de Souza

Universidade Tecnológica Federal do ParanáORCID 0000-0002-1077-2384Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexandre Rossi PaschoaliD· 1 shared Amanda Piveta SchnepperiD· 1 shared Aparajita Karmakar· 1 shared Fabiana Rodrigues de GóesiD· 1 shared Makanaka Mazheke· 1 shared Mark BashamiD· 1 shared Robson Francisco CarvalhoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alexandre Rossi PaschoalORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 20, 2026

Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNA

Fabiana Rodrigues de Góes, Makanaka Mazheke, Amanda Piveta Schnepper…·Alexandre Rossi Paschoal

The paper evaluates feature representations for predicting cancer-associated sORFs in non-coding RNA using traditional machine learning models and finds that k-mer features outperform genomic language model embeddings.

DOI 10.64898/2026.06.16.732659

humanDNA methylation