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Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease

Crossref DOI link: https://doi.org/10.1186/s12872-020-01819-0

Published Online: 2021-01-28

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Yaozhong

Bai, Fan

Tang, Zhenwei

Liu, Na

Liu, Qiming http://orcid.org/0000-0002-5213-2668
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81770337)
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Text and Data Mining valid from 2021-01-28

Version of Record valid from 2021-01-28
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Article History

Received: 26 May 2020

Accepted: 9 December 2020

First Online: 28 January 2021

Ethics approval and consent to participate

: The proteomic study was approved by the Ethics Committee of the Second Xiangya Hospital of Central South University. The research was carried out in accordance with the World Medical Association Declaration of Helsinki. Informed written consent was obtained from all patients.

: Not applicable.

: The authors declare that they have no competing interests.

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