An Evaluation of Machine Learning Approaches for the Prediction of Essential Genes in Eukaryotes Using Protein Sequence-Derived Features()

The availability of whole-genome sequences and associated multi-omics data sets, combined with advances in gene knockout and knockdown methods, has enabled large-scale annotation and exploration of gene and protein functions in eukaryotes. Knowing which genes are essential for the survival of eukary...

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Detalles Bibliográficos
Autores principales: Campos, Tulio L., Korhonen, Pasi K., Gasser, Robin B., Young, Neil D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607062/
https://www.ncbi.nlm.nih.gov/pubmed/31312416
http://dx.doi.org/10.1016/j.csbj.2019.05.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607062/
https://www.ncbi.nlm.nih.gov/pubmed/31312416
http://dx.doi.org/10.1016/j.csbj.2019.05.008

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