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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Pubblicato in:Comput Struct Biotechnol J
Autori principali: Aromolaran, Olufemi, Beder, Thomas, Oswald, Marcus, Oyelade, Jelili, Adebiyi, Ezekiel, Koenig, Rainer
Natura: Artigo
Lingua:Inglês
Pubblicazione: Research Network of Computational and Structural Biotechnology 2020
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Research Article
Accesso online: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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