Erratum: Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

Frontiers Production Office,

doi:10.3389/fgene.2022.1095803

ERRATUM article

Front. Genet. , 22 November 2022

Sec. Computational Genomics

Volume 13 - 2022 | https://doi.org/10.3389/fgene.2022.1095803

Erratum: Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

This article is an erratum on:

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study
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An erratum on
Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

by Ma Z, Chen B, Zhang Y, Zeng J, Tao J and Hu Y (2022). Front. Genet. 13:967363. doi: 10.3389/fgene.2022.967363

Due to a production error, there was an error in the Affiliations. Instead of “Department of Cardiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China”, it should be “Department of Cardiology, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China”.

The publisher apologizes for this mistake. The original version of this article has been updated.

Keywords: heart failure, biomarker, joint nonnegative matrix factorization, diagnostic model, machine learning

Citation: Frontiers Production Office (2022) Erratum: Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study. Front. Genet. 13:1095803. doi: 10.3389/fgene.2022.1095803

Received: 11 November 2022; Accepted: 11 November 2022;
Published: 22 November 2022.

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Erratum: Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study

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