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Analysis of E.coli promoter structures using neural networks.
Backpropagation neural network is trained to identify E.coli promoters of all spacing classes (15 to 21). A three module approach is employed wherein the first neural net module predicts the consensus boxes, the second module aligns the promoters to a length of 65 bases and the third neural net modu...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
1994
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC308136/ https://ncbi.nlm.nih.gov/pubmed/8029027 |
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