A Predictive Model for Secondary RNA Structure Using Graph Theory and a Neural Network.

A Predictive Model for Secondary RNA Structure Using Graph Theory and a Neural Network.

In this work we use a graph-theoretic representation of secondary RNA structure found in the database RAG: RNA-As-Graphs. We model the bonding of two RNA secondary structures to form a larger structure with a graph operation called merge. The resulting data from each tree merge operation is summariz...

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Bibliographic Details
Main Author: Koessler, Denise Renee
Format: Others
Published: Digital Commons @ East Tennessee State University 2010
Subjects:
graph theory
artificial neural network
graph models
math modeling
secondary RNA
RNA structure
RNA as Graphs
RNA
tree graph
application of graph theory
vertex identification
merge
predictive model
Discrete Mathematics and Combinatorics
Mathematics
Physical Sciences and Mathematics
Online Access:https://dc.etsu.edu/etd/1684
https://dc.etsu.edu/cgi/viewcontent.cgi?article=3039&context=etd

Internet

https://dc.etsu.edu/etd/1684
https://dc.etsu.edu/cgi/viewcontent.cgi?article=3039&context=etd

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