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...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Biotechniques
Main Authors: Webb-Robertson, Bobbie-Jo M., Matzke, Melissa M., Metz, Thomas O., McDermott, Jason E., Walker, Hyunjoo, Rodland, Karin D., Pounds, Joel G., Waters, Katrina M.
Format: Artigo
Jezik:Inglês
Izdano: 2013
Teme:
Article
Online dostop: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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