Author

Francisca G. Vieira

European Bioinformatics InstituteORCID 0000-0002-9767-4356Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Julio Sáez-RodrígueziD· 1 shared Klaus SA Kruger SerranoiD· 1 shared Loan VulliardiD· 1 shared Marta Belchior LopesiD· 1 shared Regina BispoiD· 1 shared Ricardo O. Ramirez FloresiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperSystems Biology

Julio Sáez-RodríguezORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

mc-ASTRA maps population-level variation to interpretable multicellular tissue organization processes

Ricardo O. Ramirez Flores, Klaus SA Kruger Serrano, Francisca G. Vieira, Loan Vulliard, Julio Sáez-Rodríguez

mc-ASTRA integrates molecular, spatial, and sample-level data to create interpretable maps of tissue-state variability and multicellular processes.

bioRxiv · Sep 22, 2026 · PreprintSystems Biology

Integration of Multi-omics Data for the Classification of Glioma Types and Identification of Novel Biomarkers

Francisca G. Vieira, Regina Bispo, Marta Belchior Lopes

This study integrates multi-omics data from TCGA to classify glioma types and identify novel biomarkers using DIABLO, finding key pathways and genes associated with glioblastoma and lower-grade gliomas.

Bioinformatics and Biology Insights · Jan 1, 2024Peer-reviewedBioinformatics