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...

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Detalles Bibliográficos
Autores principales: Aromolaran, Olufemi, Beder, Thomas, Oswald, Marcus, Oyelade, Jelili, Adebiyi, Ezekiel, Koenig, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096750/
https://www.ncbi.nlm.nih.gov/pubmed/32257045
http://dx.doi.org/10.1016/j.csbj.2020.02.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096750/
https://www.ncbi.nlm.nih.gov/pubmed/32257045
http://dx.doi.org/10.1016/j.csbj.2020.02.022

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