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.
Classification Experiments of DNA Sequences by Using a Deep Neural Network and Chaos Game Representation
Riccardo Rizzo;Antonino Fiannaca;Massimo La Rosa;Alfonso Urso
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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
