Author

Leonardo V. Riella

Harvard UniversityORCID 0000-0002-7636-3196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Cristian V. RiellaiD· 2 shared Dieval GuizeliniiD· 2 shared Guilherme Taborda RibasiD· 2 shared Mauricio Menegatti RigoiD· 1 shared Thiago J. BorgesiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Cristian V. RiellaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 24, 2026

Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning Models

Guilherme Taborda Ribas, Cristian V. Riella, Dieval Guizelini…·Thiago J. Borges

The paper identifies stable housekeeping genes to improve machine learning model performance by reducing data leakage in transcriptomic data from kidney transplant recipients.

DOI 10.64898/2026.04.24.720637

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 15, 2024

a2iHelper: a Python toolkit for a differential editing site analysis of RNA-Seq data

Guilherme Taborda Ribas, Dieval Guizelini, Leonardo V. Riella, Cristian V. Riella

a2iHelper provides a Python toolkit for differential A-to-I RNA editing analysis, offering noise filtering, statistical testing, and visualization to improve reproducibility and standardization in RNA-Seq studies.

DOI 10.1101/2024.10.15.618547

bulk RNA-seqstatistical model

𝕏 PostBluesky