Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities
Abstract A complete understanding of biological processes requires synthesizing information across heterogeneous modalities, such as age, disease status, or gene expression. Technological advances in single-cell profiling have enabled researchers to assay multiple modalities simultaneously. We prese...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-05-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-021-02313-2 |