Predicting metabolic pathway membership with deep neural networks by integrating sequential and ontology information
Abstract Background Inference of protein’s membership in metabolic pathways has become an important task in functional annotation of protein. The membership information can provide valuable context to the basic functional annotation and also aid reconstruction of incomplete pathways. Previous works...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2021-09-01
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| Series: | BMC Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12864-021-07629-8 |