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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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Detalhes bibliográficos
Publicado no:Comput Struct Biotechnol J
Main Authors: Campos, Tulio L., Korhonen, Pasi K., Gasser, Robin B., Young, Neil D.
Formato: Artigo
Idioma:Inglês
Publicado em: Research Network of Computational and Structural Biotechnology 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6607062/
https://ncbi.nlm.nih.gov/pubmed/31312416
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2019.05.008
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