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CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction
Accurate gene prediction in metagenomics fragments is a computationally challenging task due to the short-read length, incomplete, and fragmented nature of the data. Most gene-prediction programs are based on extracting a large number of features and then applying statistical approaches or supervise...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6841655/ https://www.ncbi.nlm.nih.gov/pubmed/30588558 http://dx.doi.org/10.1007/s12539-018-0313-4 |