Peer-reviewed Articles - Medicine

182 downloads
1,604 views

RNA editing modifies transcripts and may alter their regulation or function. In humans, the most common modification is adenosine to inosine (A-to-I). We examined the global characteristics of RNA editing in 4,301 human tissue samples. More than 1.6 million A-to-I...

["Computational Biology","Genetics","Genomics","Cardiology","Computational Science"]
doi:10.7717/peerj.4466
7 citations
266 downloads
1,046 views

As we age, our hearts undergo changes that result in a reduction in complexity of physiological interactions between different control mechanisms. This results in a potential risk of cardiovascular diseases which are the number one cause of death globally. Since...

["Computational Biology","Cardiology"]
doi:10.7717/peerj.2755
2 citations
330 downloads
1,557 views

Background Alterations in skeletal muscle function and architecture have been linked to the compromised exercise capacity characterizing chronic heart failure (CHF). However, how passive skeletal muscle force is affected in CHF is not clear. Understanding passive...

["Bioengineering","Computational Biology","Anatomy and Physiology","Cardiology","Kinesiology"]
doi:10.7717/peerj.2447
1 citation
236 downloads
1,770 views

Background: Information on cardiovascular gene transcription is fragmented and far behind the present requirements of the systems biology field. To create a comprehensive source of data for cardiovascular gene regulation and to facilitate a deeper understanding...

["Bioinformatics","Computational Biology","Cardiology","Computational Science"]
doi:10.7717/peerj.2339
4 citations
291 downloads
1,574 views

Background: Although atrial fibrillation (AF), a common arrhythmia, frequently presents in patients with underlying valvular disease, its hemodynamic contributions are not fully understood. The present work aimed to computationally study how physical conditions...

["Bioengineering","Computational Biology","Anatomy and Physiology","Cardiology","Computational Science"]
doi:10.7717/peerj.2240
9 citations
828 downloads
1,864 views

The distortion of biomedical signals by powerline noise from recording biomedical devices has the potential to reduce the quality and convolute the interpretations of the data. Usually, powerline noise in biomedical recordings are extinguished via band-stop filters....

["Bioengineering","Computational Biology","Cardiology","Drugs and Devices","Neurology"]
doi:10.7717/peerj.1086

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