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.
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2018-05-01
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Online Access: | https://doi.org/10.1038/s41467-018-04608-8 |
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doaj-8845cf8ea83f43f89475a0ca1faff78b2021-05-11T09:35:40ZengNature Publishing GroupNature Communications2041-17232018-05-01911710.1038/s41467-018-04608-8Exploring patterns enriched in a dataset with contrastive principal component analysisAbubakar Abid0Martin J. Zhang1Vivek K. Bagaria2James Zou3Department of Electrical Engineering, Stanford UniversityDepartment of Electrical Engineering, Stanford UniversityDepartment of Electrical Engineering, Stanford UniversityDepartment of Biomedical Data Science, Stanford UniversityDimensionality 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.https://doi.org/10.1038/s41467-018-04608-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abubakar Abid Martin J. Zhang Vivek K. Bagaria James Zou |
spellingShingle |
Abubakar Abid Martin J. Zhang Vivek K. Bagaria James Zou Exploring patterns enriched in a dataset with contrastive principal component analysis Nature Communications |
author_facet |
Abubakar Abid Martin J. Zhang Vivek K. Bagaria James Zou |
author_sort |
Abubakar Abid |
title |
Exploring patterns enriched in a dataset with contrastive principal component analysis |
title_short |
Exploring patterns enriched in a dataset with contrastive principal component analysis |
title_full |
Exploring patterns enriched in a dataset with contrastive principal component analysis |
title_fullStr |
Exploring patterns enriched in a dataset with contrastive principal component analysis |
title_full_unstemmed |
Exploring patterns enriched in a dataset with contrastive principal component analysis |
title_sort |
exploring patterns enriched in a dataset with contrastive principal component analysis |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2018-05-01 |
description |
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. |
url |
https://doi.org/10.1038/s41467-018-04608-8 |
work_keys_str_mv |
AT abubakarabid exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis AT martinjzhang exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis AT vivekkbagaria exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis AT jameszou exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis |
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1721449544517943296 |