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Genome-enabled prediction using probabilistic neural network classifiers
BACKGROUND: Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an MLP classifier versus that of a probabilistic neural network (PNN), to predict...
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| Publicado en: | BMC Genomics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4784384/ https://ncbi.nlm.nih.gov/pubmed/26956885 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-016-2553-1 |
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