GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction
Unravelling gene expression has become a critical procedure in bioinformatics world today and required continuous efforts to form a complete picture of enhancers. Enhancers are explicit patterns of gene expression that bound by activators to stimulate transcription. It could reside in upstream or do...
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| Main Authors: | , , |
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| Format: | E-Article |
| Language: | English |
| Published: |
ACM New York, NY, USA
2016
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/16666/1/GMFR-CNN%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/16666/ http://dl.acm.org/citation.cfm?id=3029380 |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |