Author

Ricardo Voyceik

Universidade Federal do Paraná

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

I. C. R. Santos-Wiess· 1 shared Jeroniza Nunes MarchaukoskiiD· 1 shared Leandro F. MorenoiD· 1 shared Liu Un Rigo· 1 shared P. A. B. Costa· 1 shared Roberto Tadeu RaittziD· 1 shared Vinícius Almir WeissiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

I. C. R. Santos-Wiess

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1 paper

Recent·Most cited

The identification of DNA binding regions of the σ54 factor using artificial neural network

Leandro F. Moreno, Roberto Tadeu Raittz, Jeroniza Nunes Marchaukoski, Vinícius Almir Weiss, I. C. R. Santos-Wiess, P. A. B. Costa, Ricardo Voyceik, Liu Un Rigo

This study introduces a neural network model and tool to identify σ54 TFBSs with high sensitivity and specificity, enabling genome-wide analysis of σ54-regulated genes across bacterial species.

bioRxiv · Aug 17, 2018 · PreprintBioinformatics