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  • Erratum
  • Open Access

Erratum to: Meta-analytic support vector machine for integrating multiple omics data

BioData Mining201710:8

https://doi.org/10.1186/s13040-017-0128-6

  • Received: 5 February 2017
  • Accepted: 5 February 2017
  • Published:

The original article was published in BioData Mining 2017 10:2

Erratum

After publication of the original article [1], the author noticed errors to Table 1. The errors occurred in the fourth and seventh columns labelled ‘Youden’. The correct version of Table 1 is included in this erratum.
Table 1

Shown are the results of experimental studies to compare the meta-logistic model with the meta-analytic SVM

 

Meta-SVM

Meta-logistic regression

Variance (R)

Sensitivity (SE)

Specificity (SE)

Youden

Sensitivity (SE)

Specificity (SE)

Youden

 

No inclusion of random study

    

0.1

0.828 (0.001)

0.9843 (0)

0.812

0.1073 (0)

1 (0)

0.107

0.3

0.8127 (0.002)

0.8707 (0.001)

0.683

0.2087 (0.001)

0.996 (0)

0.205

0.5

0.76 (0.002)

0.867 (0.001)

0.627

0.2633 (0.001)

0.9123 (0.001)

0.176

 

Inclusion of one random study

    

0.1

0.8007 (0.011)

0.9837 (0.002)

0.784

0.102 (0.004)

0.997 (0.001)

0.099

0.3

0.6673 (0.013)

0.8497 (0.009)

0.517

0.2113 (0.009)

0.966 (0.005)

0.177

0.5

0.6013 (0.017)

0.852 (0.009)

0.453

0.2527 (0.01)

0.8667 (0.008)

0.119

 

Inclusion of two random studies

    

0.1

0.624 (0.016)

0.9737 (0.009)

0.598

0.0847 (0.005)

0.994 (0.001)

0.079

0.3

0.51 (0.016)

0.8433 (0.006)

0.353

0.1727 (0.011)

0.9317 (0.005)

0.104

0.5

0.4167 (0.012)

0.85 (0.009)

0.267

0.256 (0.012)

0.8193 (0.006)

0.075

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 Statistics, Korea University, Anam-dong, 136-701 Seoul, South Korea
(2)
Department of Statistics, Keimyung University, Dalseoku, 42601 Daegu, South Korea

References

  1. Kim SH, Jhong JH, Lee JJ, Koo JY. Meta-analytic support vector machine for integrating multiple omics data. BioData Mining. 2017;10:2. doi:10.1186/s13040-017-0126-8.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2017

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