Erratum: A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data (IEEE Access (2020) 8 (42342-42348) DOI: 10.1109/ACCESS.2020.2977106)

Inuk Jung, Joungmin Choi, Heejoon Chae

Research output: Contribution to journalComment/debate

Abstract

In the above article [1], the acknowledgment of the research grant that supported this research was missing. The research grants that supported this research should be acknowledged as in the Acknowledgment section below within this correction document. The authors requested this correction for complementing the missing Acknowledgment in the above article [1]. ACKNOWLEDGMENT This work was supported in part by the Kyungpook National University Research Fund, 2019, and in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant NRF-2019R1I1A3A01063829.

Original languageEnglish
Article number9338457
Pages (from-to)16567
Number of pages1
JournalIEEE Access
Volume9
DOIs
StatePublished - 2021

Fingerprint

Dive into the research topics of 'Erratum: A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data (IEEE Access (2020) 8 (42342-42348) DOI: 10.1109/ACCESS.2020.2977106)'. Together they form a unique fingerprint.

Cite this