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Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities
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 present Schema...
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| Gepubliceerd in: | Genome Biol |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8091541/ https://ncbi.nlm.nih.gov/pubmed/33941239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-021-02313-2 |
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