Exploring patterns enriched in a dataset with contrastive principal component analysis

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.

Bibliographic Details
Main Authors: Abubakar Abid, Martin J. Zhang, Vivek K. Bagaria, James Zou
Format: Article
Language:English
Published: Nature Publishing Group 2018-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-04608-8
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spelling 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
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AT martinjzhang exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis
AT vivekkbagaria exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis
AT jameszou exploringpatternsenrichedinadatasetwithcontrastiveprincipalcomponentanalysis
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