Home/Health & Medicine/Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data

Essay, 1 pages (200 words)

Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data

Subject: Health & Medicine

Info

Published: January 8, 2022
Updated: January 8, 2022
University / College: Virginia Polytechnic Institute and State University
Language: English
Downloads: 34

A Corrigendum on
Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data

by Torroja C and Sanchez-Cabo F (2019). Front. Genet. 10: 978. doi: 10. 3389/fgene. 2019. 00978

In the original article, the funder “ Ministerio de Ciencia, Innovación, y Universidades (MCIU), RTI2018-102084-B-I00” to “ Fatima Sanchez-Cabo” was missing. The corrected Funding Statement follows below:

“ The results shown here are in part based upon data generated by the TCGA Research Network: https://www. cancer. gov/tcga. This work was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement number 633592 (Project APERIM: Advanced bioinformatics platform for personalized cancer immunotherapy) and by the Ministerio de Ciencia, Innovación, y Universidades (MCIU) [grant no. RTI2018-102084-B-I00]. The CNIC is supported by MCIU and the Pro-CNIC Foundation and is a Severo Ochoa Center of Excellence [MCIU award SEV-2015-0505].”

Additionally, theEthics Statement, Author ContributionsandAcknowledgementsstatement were not included in the original Article. The Statements follows below:

Ethics Statement:

“ This study was carried with human open access data from with their corresponding ethics committee approval.”

Author Contributions:

“ FS-C conceived the study, CT implemented all analysis and produced the figures. CT and FS-C wrote the manuscript.”

Acknowledgements:

“ We would like to thank Francesca Finotello and Zlatko Trajanoski for fruitful discussions and to the CNIC Bioinformatics Unit members for continuous support and work.”

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Thank's for Your Vote!

This work, titled "Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data" was written and willingly shared by a fellow student. This sample can be utilized as a research and reference resource to aid in the writing of your own work. Any use of the work that does not include an appropriate citation is banned.

If you are the owner of this work and don’t want it to be published on AssignBuster, request its removal.

Request Removal

Cite this Essay

References

AssignBuster. (2022) 'Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data'. 8 January.

Reference

AssignBuster. (2022, January 8). Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data. Retrieved from https://assignbuster.com/corrigendum-digitaldlsorter-deep-learning-on-scrna-seq-to-deconvolute-gene-expression-data/

References

AssignBuster. 2022. "Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data." January 8, 2022. https://assignbuster.com/corrigendum-digitaldlsorter-deep-learning-on-scrna-seq-to-deconvolute-gene-expression-data/.

1. AssignBuster. "Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data." January 8, 2022. https://assignbuster.com/corrigendum-digitaldlsorter-deep-learning-on-scrna-seq-to-deconvolute-gene-expression-data/.

Bibliography

AssignBuster. "Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data." January 8, 2022. https://assignbuster.com/corrigendum-digitaldlsorter-deep-learning-on-scrna-seq-to-deconvolute-gene-expression-data/.

Work Cited

"Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data." AssignBuster, 8 Jan. 2022, assignbuster.com/corrigendum-digitaldlsorter-deep-learning-on-scrna-seq-to-deconvolute-gene-expression-data/.

Get in Touch

Please, let us know if you have any ideas on improving Corrigendum: digitaldlsorter: deep-learning on scrna-seq to deconvolute gene expression data, or our service. We will be happy to hear what you think: [email protected]