Open Access

Erratum to: Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction

  • Yuri Bento Marques1, 2,
  • Alcione de Paiva Oliveira1, 3,
  • Ana Tereza Ribeiro Vasconcelos4 and
  • Fabio Ribeiro Cerqueira1Email author
BMC BioinformaticsBMC series – open, inclusive and trusted201718:113

https://doi.org/10.1186/s12859-017-1508-0

Received: 30 January 2017

Accepted: 30 January 2017

Published: 17 February 2017

The original article was published in BMC Bioinformatics 2016 17:474

Erratum

The authors of this published article [1] would like to correct their ‘Funding’ declarations from: “Publication charges for this article have been funded by CAPES, CNPq, and FAPEMIG” to: "The publication charges for this article were funded by CAPES (process no. 23038.010041/2013-13 - Aux. 3384/2013 - Biocomputacional)".

Notes

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Informatics, Universidade Federal de Viçosa
(2)
Instituto Federal do Norte de Minas
(3)
Department of Computer Science, University of Sheffield, Western Bank
(4)
Laboratório Nacional de Computação Científica, Rua Getúlio Vargas 333

Reference

  1. Yuri Bento M, de Paiva Oliveira A, Vasconcelos ATR, Ribeiro F. Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction. BMC Bioinformatics. 2016;17 Suppl 18:474. doi:10.1186/s12859-016-1343-8.Google Scholar

Copyright

© The Author(s). 2017

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