Super-sparse principal component analyses for high-throughput genomic data
<p>Abstract</p> <p>Background</p> <p>Principal component analysis (PCA) has gained popularity as a method for the analysis of high-dimensional genomic data. However, it is often difficult to interpret the results because the principal components are linear combinations...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/11/296 |