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CORRECTION article

Front. Big Data, 16 November 2021
Sec. Medicine and Public Health
Volume 4 - 2021 | https://doi.org/10.3389/fdata.2021.804141

Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples

This article is a correction to:

  1. Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples

    1. Read original article
Thanh M. NguyenThanh M. Nguyen1Samuel BhartiSamuel Bharti2Zongliang YueZongliang Yue1Christopher D. Willey&#x;Christopher D. Willey3†Jake Y. Chen Jake Y. Chen1*
  • 1Informatics Institute, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
  • 2Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University, Noida, India
  • 3Department of Radiation Oncology, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States

A Corrigendum on
Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples

by Nguyen, T. M., Bharti, S., Yue, Z., Willey, C. D., and Chen, J. Y. (2021). Front. Big Data 4:725276. doi: 10.3389/fdata.2021.725276

In the original article, we neglected to include the Acknowledgments. The Acknowledgments appears below.

“All authors thank the following general technical support that made case studies included for this work possible: Christian Stackhouse for helping CW generate the GBM-PDX model, Jelai Wang for managing the data management and data analysis computing framework, and Christian Stackhouse and Lara Lanov for executing the RNA-seq analysis pipelines.”

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: sample enrichment analysis, clinotype, SEAS, glioblastoma multiforme, patient-derived xenograft

Citation: Nguyen TM, Bharti S, Yue Z, Willey CD and Chen JY (2021) Corrigendum: Statistical Enrichment Analysis of Samples: A General-Purpose Tool to Annotate Metadata Neighborhoods of Biological Samples. Front. Big Data 4:804141. doi: 10.3389/fdata.2021.804141

Received: 28 October 2021; Accepted: 29 October 2021;
Published: 16 November 2021.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2021 Nguyen, Bharti, Yue, Willey and Chen. 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: Jake Y. Chen, jakechen@uab.edu

†ORCID: Christopher D. Willey orcid.org/0000-0001-9953-0279

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.