Evaluation of Convolutionary Neural Networks
Modeling of DNA Sequences using Ordinal versus
one-hot Encoding Method

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Evaluation of Convolutionary Neural Networks Modeling of DNA Sequences using Ordinal versus one-hot Encoding Method

Convolutionary neural network (CNN) is a popular choice for supervised DNA motif prediction due to its very high performance. To employ CNN, the input DNA sequences are required to be encoded as numerical values and represented as either vectors or multi-dimensional matrices. This paper evaluates a...

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Bibliographic Details
Main Authors:	Choong, Allen Chieng Hoon, Lee, Nung Kion
Format:	Article
Language:	English
Published:	IEEE 2018
Subjects:	Q Science (General) QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/19014/ http://ir.unimas.my/id/eprint/19014/1/encoding1.pdf

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