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Data reduction for spectral clustering to analyze high throughput flow cytometry data

BACKGROUND: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular has proven to be a powerful tool amenable for many applications. However, it cannot be directly applied to large datasets...

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Bibliografski detalji
Glavni autori: Zare, Habil, Shooshtari, Parisa, Gupta, Arvind, Brinkman, Ryan R
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2923634/
https://ncbi.nlm.nih.gov/pubmed/20667133
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-403
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