MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
Abstract Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include mul...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-05-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13059-020-02015-1 |
| _version_ | 1818480131464757248 |
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| author | Ricard Argelaguet Damien Arnol Danila Bredikhin Yonatan Deloro Britta Velten John C. Marioni Oliver Stegle |
| author_facet | Ricard Argelaguet Damien Arnol Danila Bredikhin Yonatan Deloro Britta Velten John C. Marioni Oliver Stegle |
| author_sort | Ricard Argelaguet |
| collection | DOAJ |
| description | Abstract Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include multiple data modalities and multiple groups of samples. We present Multi-Omics Factor Analysis v2 (MOFA+), a statistical framework for the comprehensive and scalable integration of single-cell multi-modal data. MOFA+ reconstructs a low-dimensional representation of the data using computationally efficient variational inference and supports flexible sparsity constraints, allowing to jointly model variation across multiple sample groups and data modalities. |
| first_indexed | 2024-12-10T11:19:09Z |
| format | Article |
| id | doaj.art-dd49303c2caa43bda1dbfd3b7a23de13 |
| institution | Directory Open Access Journal |
| issn | 1474-760X |
| language | English |
| last_indexed | 2024-12-10T11:19:09Z |
| publishDate | 2020-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Genome Biology |
| spelling | doaj.art-dd49303c2caa43bda1dbfd3b7a23de132022-12-22T01:51:03ZengBMCGenome Biology1474-760X2020-05-0121111710.1186/s13059-020-02015-1MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell dataRicard Argelaguet0Damien Arnol1Danila Bredikhin2Yonatan Deloro3Britta Velten4John C. Marioni5Oliver Stegle6European Bioinformatics Institute (EMBL-EBI)European Bioinformatics Institute (EMBL-EBI)European Molecular Biology Laboratory (EMBL)European Bioinformatics Institute (EMBL-EBI)European Molecular Biology Laboratory (EMBL)European Bioinformatics Institute (EMBL-EBI)European Bioinformatics Institute (EMBL-EBI)Abstract Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include multiple data modalities and multiple groups of samples. We present Multi-Omics Factor Analysis v2 (MOFA+), a statistical framework for the comprehensive and scalable integration of single-cell multi-modal data. MOFA+ reconstructs a low-dimensional representation of the data using computationally efficient variational inference and supports flexible sparsity constraints, allowing to jointly model variation across multiple sample groups and data modalities.http://link.springer.com/article/10.1186/s13059-020-02015-1Single cellMulti-omicsData integrationFactor analysis |
| spellingShingle | Ricard Argelaguet Damien Arnol Danila Bredikhin Yonatan Deloro Britta Velten John C. Marioni Oliver Stegle MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data Genome Biology Single cell Multi-omics Data integration Factor analysis |
| title | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data |
| title_full | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data |
| title_fullStr | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data |
| title_full_unstemmed | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data |
| title_short | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data |
| title_sort | mofa a statistical framework for comprehensive integration of multi modal single cell data |
| topic | Single cell Multi-omics Data integration Factor analysis |
| url | http://link.springer.com/article/10.1186/s13059-020-02015-1 |
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