Author

Vítor Vieira

University of MinhoORCID 0000-0001-9604-9586Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:database / resource· 1

Frequent Co-Authors

Miguel RochaiD· 3 shared Abel SousaiD· 1 shared Ana S.H. CostaiD· 1 shared Attila GáboriD· 1 shared Aurélien J. F. DugourdiD· 1 shared Carlos MagalhãesiD· 1 shared Christian FrezzaiD· 1 shared Christoph KuppeiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Miguel RochaORCID

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3 papers

Recent·Most cited

A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scale

Vítor Vieira, Jorge Ferreira, Miguel Rocha

The paper presents a pipeline for reconstructing and evaluating context-specific human metabolic models using multi-omics data, validated on cancer cell lines and showing improved gene essentiality predictions.

PLoS Computational Biology · Jun 24, 2022Peer-reviewedSystems Biology

Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses

Aurélien J. F. Dugourd, Christoph Kuppe, Marco Sciacovelli, Enio Gjerga, Attila Gábor, Kristina Bennet Emdal, Vítor Vieira, Dorte B. Bekker‐Jensen, Jennifer Kranz, Eric M. Bindels, Ana S.H. Costa, Abel Sousa, Pedro Beltrão, Miguel Rocha, Jesper Velgaard Olsen, , Julio Sáez-Rodríguez

COSMOS integrates multi-omics data with prior knowledge to generate mechanistic hypotheses about biological processes in renal cell carcinoma.

Molecular Systems Biology · Jan 1, 2021Peer-reviewedBioinformatics

HABIT - a webserver for interactive T cell neoepitope discovery

Joana Martins, Carlos Magalhães, Vítor Vieira, Miguel Rocha, Nuno Sampaio Osório

HABIT is a webserver that uses machine learning to predict and analyze T cell epitopes for neoepitope discovery in immunotherapy.

bioRxiv · Mar 8, 2019 · PreprintBioinformatics