Publicações

One-Class Svm to Identify Candidates to Reference Genes Based on the Augment of Rna-Seq Data with Generative Adversarial Networks

AuthID
P-00S-W2Z

Author(s)

Rueda, EJ

Ramos, R

Franco, EF

Belo, O

Morais, J

Editor(es)

Gervasi,O;Murgante,B;Misra,S;Garau,C;Blecic,I;Taniar,D;Apduhan,BO;Rocha,AMAC;Tarantino,E;Torre,CM;Karaca,Y

Tipo de Documento

Proceedings Paper

Year published

2020

Publicado

in Computational Science and Its Applications - ICCSA 2020 - 20th International Conference, Cagliari, Italy, July 1-4, 2020, Proceedings, Part I in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 12249, Páginas: 704-717

Conference

20Th International Conference on Computational Science and Its Applications, Iccsa 2020, Date: 1 July 2020 through 4 July 2020

Indexing

Scopus^®

Dblp^®/pt/publications/view/847967

Google Scholar^®

Metadata
Fontes

Publication Identifiers

DOI: 10.1007/978-3-030-58799-4_51

DBLP: conf/iccsa/RuedaRFBM20

SCOPUS: 2-s2.0-85092695828

Source Identifiers

ISSN: 0302-9743

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One-Class Svm to Identify Candidates to Reference Genes Based on the Augment of Rna-Seq Data with Generative Adversarial Networks

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One-Class Svm to Identify Candidates to Reference Genes Based on the Augment of Rna-Seq Data with Generative Adversarial Networks

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