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 excellent performances. 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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | E-Article |
| Language: | English |
| Published: |
IEEE
2017
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/18960/7/Evaluation%20of%20Convolutionary%20Neural%20Networks%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/18960/ https://www.biorxiv.org/content/early/2017/10/25/186965 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Sarawak |
| Language: | English |