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

  • Min-Seok Kwon1,
  • Yongkang Kim2,
  • Seungyeoun Lee3,
  • Junghyun Namkung4,
  • Taegyun Yun4,
  • Sung Gon Yi4,
  • Sangjo Han4,
  • Meejoo Kang5,
  • Sun Whe Kim5,
  • Jin-Young Jang5Email author and
  • Taesung Park1, 2Email author
BMC Genomics201718:88

Received: 22 December 2016

Accepted: 22 December 2016

Published: 16 January 2017

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


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;”



Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, 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 ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

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


  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


© The Author(s). 2017