Metabolic Pathway Prediction Using Non-Negative Matrix Factorization with Improved Precision
Machine learning provides a probabilistic framework for metabolic pathway inference from genomic sequence information at different levels of complexity and completion. However, several challenges, including pathway features engineering, multiple mapping of enzymatic reactions, and emergent or distri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mary Ann Liebert Inc.
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |