Artificial Neural Network Correlation and Biostatistics Evaluation of Physiological and Molecular Parameters in Healthy Young Individuals Performing Regular Exercise-Reference-Cited by-同舟云学术

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Artificial Neural Network Correlation and Biostatistics Evaluation of Physiological and Molecular Parameters in Healthy Young Individuals Performing Regular Exercise

Published:2019-10-02 Issue: Volume:10 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Garai Kitti,Adam Zoltan,Herczeg Robert,Katai Emese,Nagy Tamas,Pal Szilard,Gyenesei Attila,Pongracz Judit E.,Wilhelm Marta,Kvell Krisztian

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Reference32 articles.

1. Aerobic exercise: evidence for a direct brain effect to slow parkinson disease progression.;Ahlskog;Mayo Clin. Proc.,2018

2. Cluster analysis tests the importance of myogenic gene expression during myofiber hypertrophy in humans.;Bamman;J. Appl. Physiol.,2007

3. Heart rate variability at rest and during exercise in persons with down.;Baynard;Arch. Phys. Med. Rehabil.,2004

4. Meta-analysis of exercise training on vascular endothelial function in cancer survivors.;Beaudry;Integr. Cancer Ther.,2018

5. Individual differences in response to regular physical activity.;Bouchard;Med. Sci. Sports Exer.,2001

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. miRNAs as Predictors of Barrier Integrity;Biosensors;2023-03-26

2. Physical Activity as a Preventive Lifestyle Intervention Acts Through Specific Exosomal miRNA Species—Evidence From Human Short- and Long-Term Pilot Studies;Frontiers in Physiology;2021-08-02

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