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Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning
Defining genes that are essential for life has major implications for understanding critical biological processes and mechanisms. Although essential genes have been identified and characterised experimentally using functional genomic tools, it is challenging to predict with confidence such genes fro...
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| Publicado no: | Comput Struct Biotechnol J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Research Network of Computational and Structural Biotechnology
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7251299/ https://ncbi.nlm.nih.gov/pubmed/32489524 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.05.008 |
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