Exploring patterns enriched in a dataset with contrastive principal component analysis
Dimensionality reduction and visualization methods lack a principled way of comparing multiple datasets. Here, Abid et al. introduce contrastive PCA, which identifies low-dimensional structures enriched in one dataset compared to another and enables visualization of dataset-specific patterns.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-04608-8 |