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RNA secondary structure prediction from sequence alignments using a network of k-nearest neighbor classifiers
We present a machine learning method (a hierarchical network of k-nearest neighbor classifiers) that uses an RNA sequence alignment in order to predict a consensus RNA secondary structure. The input to the network is the mutual information, the fraction of complementary nucleotides, and a novel cons...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copyright 2006 by RNA Society
2006
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1383574/ https://ncbi.nlm.nih.gov/pubmed/16495232 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1261/rna.2164906 |
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