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Sparse cluster analysis of large-scale discrete variables with application to single nucleotide polymorphism data
Current extremely large scale genetic data presents significant challenges for cluster analysis. Most existing clustering methods are typically built on Euclidean distance and geared toward analyzing continuous response. They work well for clustering, e.g., microarray gene expression data, but often...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2012
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3601766/ https://ncbi.nlm.nih.gov/pubmed/23526332 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2012.743977 |
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