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  Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching

Cheng, J., Saigo, H., & Baldi, P. (2006). Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching. Proteins, 62(3), 617-629. doi:10.1002/prot.20787.

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 Creators:
Cheng, J, Author
Saigo, H1, Author           
Baldi, P, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Dates: 2006-02
 Publication Status: Issued
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Title: Proteins
Source Genre: Journal
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Pages: - Volume / Issue: 62 (3) Sequence Number: - Start / End Page: 617 - 629 Identifier: -