Author

Zandora Hastenreiter

Universidade Federal de Minas GeraisORCID 0009-0001-0998-0418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Francisco Pereira LoboiD· 1 shared Giovanni Marques de CastroiD· 1 shared Thiago Augusto Silva Monteiro· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperGenomics

Francisco Pereira LoboORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintMar 15, 2021

Cross-species prediction of essential genes in insects through machine learning and sequence-based attributes

Giovanni Marques de Castro, Zandora Hastenreiter, Thiago Augusto Silva Monteiro, Francisco Pereira Lobo

This paper develops a machine learning method to predict essential genes in insects using sequence-based attributes, validated on Drosophila and Tribolium, and shows cross-species predictive capability.

DOI 10.1101/2021.03.15.433440

Drosophilamouse

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