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Unsupervised manifold alignment for single-cell multi-omics data
Integrating single-cell measurements that capture different properties of the genome is vital to extending our understanding of genome biology. This task is challenging due to the lack of a shared axis across datasets obtained from different types of single-cell experiments. For most such datasets,...
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| Gepubliceerd in: | ACM BCB |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8095090/ https://ncbi.nlm.nih.gov/pubmed/33954299 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3388440.3412410 |
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