Multidimensional scaling for large genomic data sets

BACKGROUND: Multi-dimensional scaling (MDS) is aimed to represent high dimensional data in a low dimensional space with preservation of the similarities between data points. This reduction in dimensionality is crucial for analyzing and revealing the genuine structure hidden in the data. For noisy da...

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Detalles Bibliográficos
Autores principales: Tzeng, Jengnan, Lu, Henry Horng-Shing, Li, Wen-Hsiung
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375126/
https://www.ncbi.nlm.nih.gov/pubmed/18394154
http://dx.doi.org/10.1186/1471-2105-9-179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375126/
https://www.ncbi.nlm.nih.gov/pubmed/18394154
http://dx.doi.org/10.1186/1471-2105-9-179

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