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Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features
Genes are termed to be essential if their loss of function compromises viability or results in profound loss of fitness. On the genome scale, these genes can be determined experimentally employing RNAi or knockout screens, but this is very resource intensive. Computational methods for essential gene...
Tallennettuna:
| Julkaisussa: | Comput Struct Biotechnol J |
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| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Research Network of Computational and Structural Biotechnology
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7096750/ https://ncbi.nlm.nih.gov/pubmed/32257045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.02.022 |
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