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Sequential projection pursuit principal component analysis – dealing with missing data associated with new -omics technologies
Principal Component Analysis (PCA) is a common exploratory tool used to evaluate large complex data sets. The resulting lower-dimensional representations are often valuable for pattern visualization, clustering, or classification of the data. However, PCA cannot be applied directly to many -omics da...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Biotechniques |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2013
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6191041/ https://ncbi.nlm.nih.gov/pubmed/23477384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2144/000113978 |
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