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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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IEEE
2018
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/19014/1/encoding1.pdf http://ir.unimas.my/id/eprint/19014/ https://ieeexplore.ieee.org/abstract/document/8270400 |
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