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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...
Gorde:
| Argitaratua izan da: | Comput Struct Biotechnol J |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Research Network of Computational and Structural Biotechnology
2019
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| Gaiak: | |
| Sarrera elektronikoa: | 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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