Skip to main content

CORRECTION article

Front. Genet., 25 October 2021
Sec. Computational Genomics
Volume 12 - 2021 | https://doi.org/10.3389/fgene.2021.778490
This article is part of the Research Topic Biomarker Detection Algorithms and Tools for Medical Imaging or Omic Data View all 23 articles

Corrigendum: MONTI: A Multi-Omics Non-Negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

This article is a correction to:

  1. MONTI: A Multi-Omics Non-negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

    1. Read original article
Inuk Jung Inuk Jung1*Minsu KimMinsu Kim2Sungmin RheeSungmin Rhee3Sangsoo LimSangsoo Lim4Sun Kim,, Sun Kim2,3,4*
  • 1Department of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea
  • 2Computing and Computational Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, TN, United States
  • 3Department of Computer Science and Engineering, Seoul National University, Seoul, South Korea
  • 4Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea

A corrigendum on
MONTI: A Multi-Omics Non-Negative Tensor Decomposition Framework for Gene-Level Integrative Analysis

by Jung, I., Kim, M., Rhee, S., Lim, S., and Kim, S. (2021). Front. Genet. 12:682841. doi: 10.3389/fgene.2021.682841

There is an error in the Funding statement. The correct number for “the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education” is “2020M3C9A5085604.” Corrected statement is given below:

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (2019M3E5D3073365), the Collaborative Genome Program for Fostering New Post-Genome Industry of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (MSIT) (No. NRF-2014M3C9A3063541), and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2020M3C9A5085604).

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: feature selection, tensor decomposition, cancer, multi-omics, integrative analysis

Citation: Jung I, Kim M, Rhee S, Lim S and Kim S (2021) Corrigendum: MONTI: A Multi-Omics Non-Negative Tensor Decomposition Framework for Gene-Level Integrative Analysis. Front. Genet. 12:778490. doi: 10.3389/fgene.2021.778490

Received: 17 September 2021; Accepted: 30 September 2021;
Published: 25 October 2021.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2021 Jung, Kim, Rhee, Lim and Kim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Inuk Jung, inukjung@knu.ac.kr; Sun Kim, sunkim.bioinfo@snu.ac.kr

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.