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Cross-validation of protein structural class prediction using statistical clustering and neural networks.

We present an approach to predicting protein structural class that uses amino acid composition and hydrophobic pattern frequency information as input to two types of neural networks: (1) a three-layer back-propagation network and (2) a learning vector quantization network. The results of these metho...

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Autori principali: Metfessel, B. A., Saurugger, P. N., Connelly, D. P., Rich, S. S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Cold Spring Harbor Laboratory Press 1993
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2142422/
https://ncbi.nlm.nih.gov/pubmed/8358300
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