![]() |
JOURNAL TOOLS |
Publishing options |
eTOC |
To subscribe |
Submit an article |
Recommend to your librarian |
ARTICLE TOOLS |
Publication history |
Reprints |
Permissions |
Cite this article as |
Share |

YOUR ACCOUNT
YOUR ORDERS
SHOPPING BASKET
Items: 0
Total amount: € 0,00
HOW TO ORDER
YOUR SUBSCRIPTIONS
YOUR ARTICLES
YOUR EBOOKS
COUPON
ACCESSIBILITY
ORIGINAL ARTICLE
Minerva Cardiology and Angiology 2024 Oct 08
DOI: 10.23736/S2724-5683.24.06492-5
Copyright © 2024 EDIZIONI MINERVA MEDICA
language: English
Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation
Kexin LIU 1, 2, Zhikai YANG 3, Zhouheng YE 2, Lei HAN 1, 2 ✉
ACCESS OPTIONS | |
You can access the full text of this article (PDF and HTML if available) for 48 hours at a price of € 85,00. Downloading and printing for personal use allowed. Access as an individual subscriber Access through your institution |
Subscribe to Minerva Cardiology and Angiology |