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  • Erratum
  • Open Access

Erratum to: Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer

  • 1,
  • 2,
  • 3,
  • 4,
  • 4,
  • 4,
  • 4,
  • 5,
  • 5,
  • 5Email author and
  • 1, 2Email author
BMC Genomics201718:88

https://doi.org/10.1186/s12864-016-3464-x

  • Received: 22 December 2016
  • Accepted: 22 December 2016
  • Published:

The original article was published in BMC Genomics 2015 16:S4

Erratum

After publication of this article [1] it was brought to the Editors’ attention that there were inaccurate descriptions of validation data in its abstract and list of abbreviations. For the validation, we used the three datasets from Gene Expression Omnibus (GEO), not the Cancer Genome Atlas (TCGA).

The corrected description for line 8–10 in abstract is as below:

“For selecting even more reliable and robust markers, we performed validation by independent datasets from the Gene Expression Omnibus (GEO) data depository.”

In page 9, the corrected description of list of abbreviations used is as follows:

“AUC, Area under curve; BA, Balanced accuracy; BR, Breast cancer; GEO, Gene Expression Omnibus; GO, Gene ontology; HCC, Hepatocellular carcinoma; LC, Lung cancer; LOOCV, Leave-one-out cross-validation; LP, Lymphoma; mRNA, messenger RNA; miRNA, microRNA; PDAC, Pancreatic ductal adenocarcinoma; SVM, Support vector machine;”

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)
Interdisciplinary program in Bioinformatics, Seoul National University, Seoul, Korea
(2)
Department of Statistics, Seoul National University, Seoul, Korea
(3)
Department of Mathematics and Statistics, Sejong University, Seoul, Korea
(4)
Immunodiagnostics R&D Team, IVD Business Unit, New Business Division, SK telecom Co, Seongnam, Korea
(5)
Department of Surgery, Seoul National University Hospital, Seoul, Korea

Reference

  1. Kwon M-S, et al. Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer. BMC Genomics. 2015;16 Suppl 9:S4.View ArticlePubMedPubMed CentralGoogle Scholar

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