A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network.
Identifieur interne : 001185 ( Ncbi/Curation ); précédent : 001184; suivant : 001186A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network.
Auteurs : Antonino Fiannaca [Italie] ; Massimo La Rosa [Italie] ; Riccardo Rizzo [Italie] ; Alfonso Urso [Italie]Source :
- Artificial intelligence in medicine [ 1873-2860 ] ; 2015.
Descripteurs français
- KwdFr :
- ADN (), ADN (génétique), Algorithmes, Analyse de regroupements, Animaux, Apprentissage machine supervisé, Arbres de décision, Bases de données génétiques, Biologie informatique, Codage à barres de l'ADN pour la taxonomie (), Machine à vecteur de support, Reproductibilité des résultats, Spécificité d'espèce, Séquence nucléotidique.
- MESH :
- génétique : ADN.
- ADN, Algorithmes, Analyse de regroupements, Animaux, Apprentissage machine supervisé, Arbres de décision, Bases de données génétiques, Biologie informatique, Codage à barres de l'ADN pour la taxonomie, Machine à vecteur de support, Reproductibilité des résultats, Spécificité d'espèce, Séquence nucléotidique.
English descriptors
- KwdEn :
- Algorithms, Animals, Base Sequence, Cluster Analysis, Computational Biology, DNA (classification), DNA (genetics), DNA Barcoding, Taxonomic (methods), Databases, Genetic, Decision Trees, Neural Networks, Computer, Reproducibility of Results, Species Specificity, Supervised Machine Learning, Support Vector Machine.
- MESH :
- chemical , classification : DNA.
- chemical , genetics : DNA.
- methods : DNA Barcoding, Taxonomic.
- Algorithms, Animals, Base Sequence, Cluster Analysis, Computational Biology, Databases, Genetic, Decision Trees, Neural Networks, Computer, Reproducibility of Results, Species Specificity, Supervised Machine Learning, Support Vector Machine.
Abstract
In this paper, an alignment-free method for DNA barcode classification that is based on both a spectral representation and a neural gas network for unsupervised clustering is proposed.
DOI: 10.1016/j.artmed.2015.06.002
PubMed: 26170017
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pubmed:26170017Le document en format XML
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<term>DNA (genetics)</term>
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<term>Databases, Genetic</term>
<term>Decision Trees</term>
<term>Neural Networks, Computer</term>
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<term>Species Specificity</term>
<term>Supervised Machine Learning</term>
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<term>Reproductibilité des résultats</term>
<term>Spécificité d'espèce</term>
<term>Séquence nucléotidique</term>
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<term>Base Sequence</term>
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<term>Decision Trees</term>
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<term>Species Specificity</term>
<term>Supervised Machine Learning</term>
<term>Support Vector Machine</term>
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<term>Analyse de regroupements</term>
<term>Animaux</term>
<term>Apprentissage machine supervisé</term>
<term>Arbres de décision</term>
<term>Bases de données génétiques</term>
<term>Biologie informatique</term>
<term>Codage à barres de l'ADN pour la taxonomie</term>
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<front><div type="abstract" xml:lang="en">In this paper, an alignment-free method for DNA barcode classification that is based on both a spectral representation and a neural gas network for unsupervised clustering is proposed.</div>
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