Identification of 4 autophagy-related genes in heart failure by bioinformatics analysis and machine learning.

Authors:
Deng X; Yang Z; Li T; Wang Y; Yang Q and 2 more

Journal:
Front Cardiovasc Med

Publication Year: 2024

DOI:
10.3389/fcvm.2024.1247079

PMCID:
PMC10859477

PMID:
38347953

Journal Information

Full Title: Front Cardiovasc Med

Abbreviation: Front Cardiovasc Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Cardiac & Cardiovascular Systems

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Core Indicators
Evidence found in paper:

"data availability statement publicly available datasets were analyzed in this study. this data can be found here: https://www ncbi nlm nih gov/geo/query/acc cgi? acc=gse57338"

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Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"This study was supported by the National Natural Science Foundation of China (grant no. 82100297) and the Natural Science Foundation of Shaanxi Province, China (grant no. 2021JQ-342)."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025