Correction to: BMC Medical Genomics 2019, 12(Suppl 1):18.
https://doi.org/10.1186/s12920-018-0460-9
Following publication of the original article [1], the authors provided an updated funding statement to the article. The updated statement is as follows:
Funding
This research and this article’s publication costs were supported partially by the NCI Cancer Center Shared Resources (NIH-NCI P30CA54174 to YC), NIH (CTSA 1UL1RR025767–01 to YC, and R01GM113245 to YH), CPRIT (RP160732 to YC), and San Antonio Life Science Institute (SALSI Innovation Challenge Award 2016 to YH and YC and SALSI Postdoctoral Research Fellowship to YCC). AG is supported by the NIH/NCATS TL1 Translational Science Training award (TL1TR002647) and the AACR-AstraZeneca Stimulating Therapeutic Advances through Research Training grant. The funding sources had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Reference
Chiu et al. BMC Medical Genomics 2019, 12(Suppl 1):18. Predicting drug response of tumors from integrated genomic profiles by deep neural networks https://doi.org/10.1186/s12920-018-0460-9.
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Chiu, YC., Chen, HI.H., Zhang, T. et al. Correction to: Predicting drug response of tumors from integrated genomic profiles by deep neural networks. BMC Med Genomics 12, 119 (2019). https://doi.org/10.1186/s12920-019-0569-5
Published:
DOI: https://doi.org/10.1186/s12920-019-0569-5