There are errors in the author affiliations. The correct affiliations are as follows:
Nathan Mikhaylenko1, Linus Wahnschaffe2,3,4, Marco Herling2,3,4,5, Ingo Roeder1,6, Michael Seifert1,6
1 Institute for Medical Informatics and Biometry (IMB), Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany, 2 Department I of Internal Medicine, Center for Integrated Oncology (CIO), Aachen-Bonn-Cologne-Duesseldorf, University of Cologne, Cologne, Germany, 3 Excellence Cluster for Cellular Stress Response and Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany, 4 Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany, 5 Department of Hematology and Cellular Therapy, University of Leipzig, Leipzig, Germany, 6 National Center for Tumor Diseases (NCT), Dresden, Germany, German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, Helmholtz-Zentrum Dresden—Rossendorf (HZDR), Dresden, Germany
In the subsection of Introduction, a Figure citation is omitted from the third sentence of the first paragraph. The correct sentence is: Each of these 13 patient-specific RNA-seq samples always had the strongest correlation with the gene expression profile of its corresponding patient-specific microarray sample (S10 Fig).
The publisher apologizes for the errors.
Reference
- 1. Mikhaylenko N, Wahnschaffe L, Herling M, Roeder I, Seifert M (2022) Computational gene expression analysis reveals distinct molecular subgroups of T-cell prolymphocytic leukemia. PLoS ONE 17(9): e0274463. https://doi.org/10.1371/journal.pone.0274463 pmid:36129940
Citation: The PLOS One Staff (2024) Correction: Computational gene expression analysis reveals distinct molecular subgroups of T-cell prolymphocytic leukemia. PLoS ONE 19(12): e0315260. https://doi.org/10.1371/journal.pone.0315260
Published: December 5, 2024
Copyright: © 2024 The PLOS One Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.