Numerical integration methods and layout improvements in the context of dynamic RNA visualization.

Published in: BMC bioinformatics (2017)

The work in this manuscript presents the preferred use of compressed graphs to detailed ones, as well as the advantages of employing the Backward Euler method over the Forward Euler method. These improvements produce more stable as well as visually aesthetic representations of the RNA secondary structures. The results presented demonstrate that both the compressed graph representation, as well as the Backward Euler integrator, greatly enhance the run-time performance and usability. The newest iteration of jViz.RNA is available at https://jviz.cs.sfu.ca/download/download.html .

Keyphrases

nucleic acid
working memory
electronic health record
healthcare
machine learning
convolutional neural network
patient satisfaction
protein kinase
neural network
deep learning