Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival
Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal component analysis (PCA). However, the application of PCA is not straightforward for multisource data, wherein multiple sources of ‘omics data measure different but related biolo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-07-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/1176935117718517 |