CORRECTION
Correction: Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks The PLOS ONE Staff
In the Funding section, the grant number from the funder the National Natural Science Foundation of China is listed incorrectly. The correct grant number is: 31072055. The complete, correct funding information is as follows: This work was financially supported by the National Natural Science Foundation of China (Project no. 31072055) and The Ministry of Science and Technology of China (Project no. 2011BAD26B03-4). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Reference 1.
Dong R, Zhao G (2014) Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks. PLoS ONE 9(12): e116290. doi:10. 1371/journal.pone.0116290 PMID: 25551220
OPEN ACCESS Citation: The PLOS ONE Staff (2015) Correction: Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks. PLoS ONE 10 (3): e0119740. doi:10.1371/journal.pone.0119740 Published: March 16, 2015 Copyright: © 2015 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PLOS ONE | DOI:10.1371/journal.pone.0119740 March 16, 2015
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Correction: Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks The PLOS ONE Staff
In the Funding section, the grant number from the funder the National Natural Science Foundation of China is listed incorrectly. The correct grant number is: 31072055. The complete, correct funding information is as follows: This work was financially supported by the National Natural Science Foundation of China (Project no. 31072055) and The Ministry of Science and Technology of China (Project no. 2011BAD26B03-4). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Reference 1.
Dong R, Zhao G (2014) Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks. PLoS ONE 9(12): e116290. doi:10. 1371/journal.pone.0116290 PMID: 25551220
OPEN ACCESS Citation: The PLOS ONE Staff (2015) Correction: Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks. PLoS ONE 10 (3): e0119740. doi:10.1371/journal.pone.0119740 Published: March 16, 2015 Copyright: © 2015 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PLOS ONE | DOI:10.1371/journal.pone.0119740 March 16, 2015
1/1
