UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization
Single-cell genomic technologies present unique data integration challenges. Here the authors introduce an integrative nonnegative matrix factorization algorithm that incorporates features unshared between datasets when performing dataset integrations, improving integration results for spatial trans...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-28431-4 |
| _version_ | 1818977165515948032 |
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| author | April R. Kriebel Joshua D. Welch |
| author_facet | April R. Kriebel Joshua D. Welch |
| author_sort | April R. Kriebel |
| collection | DOAJ |
| description | Single-cell genomic technologies present unique data integration challenges. Here the authors introduce an integrative nonnegative matrix factorization algorithm that incorporates features unshared between datasets when performing dataset integrations, improving integration results for spatial transcriptomic, cross-modality, and cross-species data. |
| first_indexed | 2024-12-20T16:23:24Z |
| format | Article |
| id | doaj.art-a0dbf8d380e14acc8048ffbe00c321c3 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T16:23:24Z |
| publishDate | 2022-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-a0dbf8d380e14acc8048ffbe00c321c32022-12-21T19:33:32ZengNature PortfolioNature Communications2041-17232022-02-0113111710.1038/s41467-022-28431-4UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorizationApril R. Kriebel0Joshua D. Welch1Department of Computational Medicine and Bioinformatics, University of MichiganDepartment of Computational Medicine and Bioinformatics, University of MichiganSingle-cell genomic technologies present unique data integration challenges. Here the authors introduce an integrative nonnegative matrix factorization algorithm that incorporates features unshared between datasets when performing dataset integrations, improving integration results for spatial transcriptomic, cross-modality, and cross-species data.https://doi.org/10.1038/s41467-022-28431-4 |
| spellingShingle | April R. Kriebel Joshua D. Welch UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization Nature Communications |
| title | UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization |
| title_full | UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization |
| title_fullStr | UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization |
| title_full_unstemmed | UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization |
| title_short | UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization |
| title_sort | uinmf performs mosaic integration of single cell multi omic datasets using nonnegative matrix factorization |
| url | https://doi.org/10.1038/s41467-022-28431-4 |
| work_keys_str_mv | AT aprilrkriebel uinmfperformsmosaicintegrationofsinglecellmultiomicdatasetsusingnonnegativematrixfactorization AT joshuadwelch uinmfperformsmosaicintegrationofsinglecellmultiomicdatasetsusingnonnegativematrixfactorization |