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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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Bibliographic Details
Main Authors: Tzeng, Jengnan, Lu, Henry Horng-Shing, Li, Wen-Hsiung
Format: Artigo
Language:Inglês
Published: BioMed Central 2008
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2375126/
https://ncbi.nlm.nih.gov/pubmed/18394154
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-179
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