Identification of alternative splicing regulatory patterns and characteristic splicing factors in heart failure using RNA-seq data and machine learning-Reference-Cited by-同舟云学术

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Identification of alternative splicing regulatory patterns and characteristic splicing factors in heart failure using RNA-seq data and machine learning

Published:2024-08 Issue:15 Volume:10 Page:e35408
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Li Jia^ORCID,Tu Dingyuan,Li Songhua,Guo Zhifu,Song Xiaowei

Funder

Changhai Hospital

Publisher

Elsevier BV

Reference68 articles.

1. Evers LRJJotACoC: 2022 AHA/ACC/HFSA guideline for the management of heart failure: executive summary: a report of the American college of cardiology/American heart association joint committee on clinical practice guidelines;Heidenreich,2022

2. Global burden of heart failure: a comprehensive and updated review of epidemiology;Savarese,2022

3. MicroRNAs are dynamically regulated in hypertrophic hearts, and miR‐199a is essential for the maintenance of cell size in cardiomyocytes;Song,2010

4. Attenuation of microRNA‐22 derepressed PTEN to effectively protect rat cardiomyocytes from hypertrophy;Xu,2012

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