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Qi Wang1,2
Guiying Yan1,2*- 1Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
- 2School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China
A Corrigendum On
IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations
by Wang Q and Yan G (2019). Front. Genet. 10:1259. doi: 10.3389/fgene.2019.01259
In the original article, there was a mistake in the legend for Figure 2 published as an explanation of what Nd and Nl represent was missing. The correct legend appears below.
Also in Figure 2 the diagrams shown in Step 2 are incorrect as the formulas were omitted. The corrected Figure 2 and its legend appear below. 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.
FIGURE 2
Figure 2 Flowchart of IDLDA. Nd and Nl represent the number of diseases and the number of lncRNAs, respectively.
Keywords: long non-coding RNA, disease, association prediction, computational prediction model, diffusion model
Citation: Wang Q and Yan G (2020) Corrigendum: IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations. Front. Genet. 11:137. doi: 10.3389/fgene.2020.00137
Received: 18 December 2019; Accepted: 04 February 2020;
Published: 26 February 2020.
Edited and reviewed by: Alfredo Pulvirenti, University of Catania, Italy
Copyright © 2020 Wang and Yan. 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: Guiying Yan, eWFuZ3lAYW1zcy5hYy5jbg==