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
Publicado en:Comput Struct Biotechnol J
Main Authors: Aromolaran, Olufemi, Beder, Thomas, Oswald, Marcus, Oyelade, Jelili, Adebiyi, Ezekiel, Koenig, Rainer
Formato: Artigo
Idioma:Inglês
Publicado: Research Network of Computational and Structural Biotechnology 2020
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Research Article
Acceso en liña: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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