Probabilistic principal component analysis for metabolomic data
<p>Abstract</p> <p>Background</p> <p>Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique for analyzing metabolomic data. However, PCA is limited by the fact...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-11-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/11/571 |