Identifying essential genes across eukaryotes by machine learning
Identifying essential genes on a genome scale is resource intensive and has been performed for only a few eukaryotes. For less studied organisms essentiality might be predicted by gene homology. However, this approach cannot be applied to non-conserved genes. Additionally, divergent essentiality inf...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Online Access: | View Fulltext in Publisher |