Author

Rita Martins-Silva

University of LisbonORCID 0000-0002-1067-7993Unclaimed 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· 3 Research Focus:differential expression· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Nuno L. Barbosa‐MoraisiD· 3 shared Alexandre KaizeleriD· 2 shared Nuno Saraiva-AgostinhoiD· 2 shared Arthur L. Schneider· 1 shared Mariana Ascensão-FerreiraiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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3 shared papersBioinformatics

Nuno L. Barbosa‐MoraisORCID

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Author profile →

3 papers

Recent·Most cited

Exploring molecular signatures of senescence with markeR, an R toolkit for evaluating gene sets as phenotypic markers

Rita Martins-Silva, Alexandre Kaizeler, Nuno L. Barbosa‐Morais

The paper introduces markeR, an R package for evaluating gene sets as phenotypic markers, and demonstrates its application to senescence-related gene sets across multiple datasets.

NAR Genomics and Bioinformatics · Mar 27, 2026Peer-reviewedBioinformatics

betAS: intuitive analysis and visualisation of differential alternative splicing using beta distributions

Mariana Ascensão-Ferreira, Rita Martins-Silva, Nuno Saraiva-Agostinho, Nuno L. Barbosa‐Morais

betAS provides a method to analyze and visualize differential alternative splicing using beta distributions to quantify inclusion levels and their precision across groups.

RNA · Jan 26, 2024Peer-reviewedBioinformatics

voyAGEr: free web interface for the analysis of age-related gene expression alterations in human tissues

Arthur L. Schneider, Rita Martins-Silva, Alexandre Kaizeler, Nuno Saraiva-Agostinho, Nuno L. Barbosa‐Morais

voyAGEr provides a web tool to analyze age-related gene expression changes in 49 human tissues using GTEx RNA-seq data, enabling visualization and statistical exploration of sex- and tissue-specific transcriptomic alterations.

eLife · May 31, 2023Peer-reviewedBioinformatics