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Classification Experiments of DNA Sequences by Using a Deep Neural Network and Chaos Game Representation

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Abstract:
Analysis and classification of sequences is one of the key research areas in bioinformatics. The basic tool for sequence analysis is alignment, but there are also other techniques that can be used. Frequency Chaos Game Representation is a technique that builds an image characteristic of the sequence The paper describes the first experiment in the use of a deep neural network for classification of DNA sequences represented as images by using the Frequency Chaos Game Representation.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Deep Neural Networks; DNA sequences Classification; Frequency Chaos Game Sequences Representation
Elenco autori:
Rizzo, Riccardo; Urso, Alfonso; Fiannaca, Antonino; LA ROSA, Massimo
Autori di Ateneo:
FIANNACA ANTONINO
LA ROSA MASSIMO
RIZZO RICCARDO
URSO ALFONSO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/321119
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