Author

Roberta Coletti

Universidade Nova de LisboaORCID 0000-0002-3402-7717Unclaimed 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· 4 Organism:human· 4 Approach:statistical model· 4 Research Focus:differential expression· 3 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Marta Belchior LopesiD· 4 shared Bruno Marques CostaiD· 2 shared Céline S. GonçalvesiD· 2 shared Eduarda P. MartinsiD· 2 shared João F. CarrilhoiD· 1 shared Jorge Orestes CerdeiraiD· 1 shared Marcos RaydaniD· 1 shared Mónica Leiria de MendonçaiD· 1 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersBioinformatics

Marta Belchior LopesORCID

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4 papers

Recent·Most cited

Updating TCGA glioma classification through integration of molecular profiling data following the 2016 and 2021 WHO guidelines

Mónica Leiria de Mendonça, Roberta Coletti, Céline S. Gonçalves, Eduarda P. Martins, Bruno Marques Costa, Susana Vinga, Marta Belchior Lopes

This paper updates TCGA glioma classifications to align with WHO-2016 and WHO-2021 guidelines using molecular profiling data, achieving high reclassification rates.

Scientific Data · Jun 4, 2025Peer-reviewedBioinformatics

Performance Assessment of an Unsupervised Variable Selection Approach for Biomarker Discovery and Glioblastoma Subtyping

Roberta Coletti, Jorge Orestes Cerdeira, Marcos Raydan, Marta Belchior Lopes

This study evaluates unsupervised variable selection methods for high-dimensional omics data and introduces TRIM-IT, a tool that identifies glioblastoma subtypes with distinct molecular profiles and survival outcomes.

bioRxiv · Mar 11, 2025 · PreprintBioinformatics

A Novel Tool for Multi-Omics Network Integration and Visualization: A Study of Glioma Heterogeneity

Roberta Coletti, João F. Carrilho, Eduarda P. Martins, Céline S. Gonçalves, Bruno Marques Costa, Marta Belchior Lopes

This study develops MINGLE, a multi-omics integration tool, to identify glioma-type-specific biomarkers by analyzing heterogeneous glioma data.

Computers in Biology and Medicine · Feb 17, 2025Peer-reviewedBioinformatics

Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification

Nina Kastendiek, Roberta Coletti, Thilo Groß, Marta Belchior Lopes

This paper uses network analysis to identify key genes and patient subgroups in gliomas, revealing molecular heterogeneity and potential biomarkers.

BioData Mining · Dec 18, 2024Peer-reviewedBioinformatics