DeepFinder : An integration of feature-based and deep learning approach for DNA motif discovery
We propose an improved solution to the three-stage DNA motif prediction approach. The three-stage approach uses only a subset of input sequences for initial motif prediction, and the initial motifs obtained are employed for site detection in the remaining input subset of non-overlaps. The currently...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis Ltd.
2018
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/19914/1/DeepFinder.pdf http://ir.unimas.my/id/eprint/19914/ https://www.tandfonline.com/doi/full/10.1080/13102818.2018.1438209 |
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