A Discriminative Approach for Unsupervised Clustering of DNA Sequence Motifs

Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received increased attention during the last years. Its main applications concern characterization of potentially novel motifs and clustering of a motif collection in order to remove redundancy. Despite growing int...

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Detalles Bibliográficos
Autores principales: Stegmaier, Philip, Kel, Alexander, Wingender, Edgar, Borlak, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605052/
https://www.ncbi.nlm.nih.gov/pubmed/23555204
http://dx.doi.org/10.1371/journal.pcbi.1002958

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605052/
https://www.ncbi.nlm.nih.gov/pubmed/23555204
http://dx.doi.org/10.1371/journal.pcbi.1002958

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