Open Access

Erratum to: Predicting the functions of a protein from its ability to associate with other molecules

BMC BioinformaticsBMC series – open, inclusive and trusted201617:105

https://doi.org/10.1186/s12859-016-0953-5

Published: 26 February 2016

The original article was published in BMC Bioinformatics 2016 17:34

Upon publication of the original article [1] it was found that author corrections for Table 1 were not correctly implemented. You can now find the correct Table 1 below and also updated in the original article.
Table 1

The distribution of semantically related and semantically unrelated co-occurrences of molecule m i and Protein p Pair in an Abstract A j

m i and p co-occur in the same sentence

Yes

No

Total

m i and p are semantically related

Yes

o 11

o 12

R 1

No

o 21

o 22

R 2

Total

C 1

C 2

N

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 Electrical and Computer Engineering, Khalifa University
(2)
Faculty of Science and Technology, Bournemouth University

References

  1. Taha K, Yoo PD. Predicting the functions of a protein from its ability to associate with other molecules. BMC Bioinformatics. 2016;17:34.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© Taha and Yoo. 2016

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