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A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
Essential genes contain key information of genomes that could be the key to a comprehensive understanding of life and evolution. Because of their importance, studies of essential genes have been considered a crucial problem in computational biology. Computational methods for identifying essential ge...
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| I publikationen: | Int J Mol Sci |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7730808/ https://ncbi.nlm.nih.gov/pubmed/33260643 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms21239070 |
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