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ClusTrack: Feature Extraction and Similarity Measures for Clustering of Genome-Wide Data Sets

Clustering is a popular technique for explorative analysis of data, as it can reveal subgroupings and similarities between data in an unsupervised manner. While clustering is routinely applied to gene expression data, there is a lack of appropriate general methodology for clustering of sequence-leve...

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Detalles Bibliográficos
Autores principales: Rydbeck, Halfdan, Sandve, Geir Kjetil, Ferkingstad, Egil, Simovski, Boris, Rye, Morten, Hovig, Eivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4400084/
https://www.ncbi.nlm.nih.gov/pubmed/25879845
http://dx.doi.org/10.1371/journal.pone.0123261