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Remote homology detection based on oligomer distances.

Identifieur interne : 000448 ( Ncbi/Checkpoint ); précédent : 000447; suivant : 000449

Remote homology detection based on oligomer distances.

Auteurs : Thomas Lingner [Allemagne] ; Peter Meinicke

Source :

RBID : pubmed:16837522

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English descriptors

Abstract

Remote homology detection is among the most intensively researched problems in bioinformatics. Currently discriminative approaches, especially kernel-based methods, provide the most accurate results. However, kernel methods also show several drawbacks: in many cases prediction of new sequences is computationally expensive, often kernels lack an interpretable model for analysis of characteristic sequence features, and finally most approaches make use of so-called hyperparameters which complicate the application of methods across different datasets.

DOI: 10.1093/bioinformatics/btl376
PubMed: 16837522


Affiliations:


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pubmed:16837522

Le document en format XML

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<country xml:lang="fr">Allemagne</country>
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<term>Pattern Recognition, Automated</term>
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<term>Données de séquences moléculaires</term>
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<term>Reconnaissance automatique des formes</term>
<term>Similitude de séquences d'acides aminés</term>
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