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DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery
Approximately 15% of human cancers are estimated to be attributed to viruses. Virus sequences can be integrated into the host genome, leading to genomic instability and carcinogenesis. Here, a new deep convolutional neural network (CNN) model is developed with attention architecture, namely DeepVISP...
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| I publikationen: | Adv Sci (Weinh) |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
John Wiley and Sons Inc.
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8097320/ https://ncbi.nlm.nih.gov/pubmed/33977077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.202004958 |
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