Correction: Predicting drug response of tumors from integrated genomic profiles by deep neural networks (BMC Medical Genomics (2019) 12:1 (18) DOI: 10.1186/s12920-018-0460-9)

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Abstract

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.

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Chiu, Y. C., Chen, H. I. H., Zhang, T., Zhang, S., Gorthi, A., Wang, L. J., … Chen, Y. (2019, August 12). Correction: Predicting drug response of tumors from integrated genomic profiles by deep neural networks (BMC Medical Genomics (2019) 12:1 (18) DOI: 10.1186/s12920-018-0460-9). BMC Medical Genomics. BioMed Central Ltd. https://doi.org/10.1186/s12920-019-0569-5

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