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Single-cell multi-omic integration compares and contrasts features of brain cell identity
Defining cell types requires integrating diverse single-cell measurements from multiple experiments and biological contexts. To flexibly model single-cell datasets, we developed LIGER, an algorithm that delineates shared and dataset-specific features of cell identity. We applied it to four diverse a...
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| Yayımlandı: | Cell |
|---|---|
| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6716797/ https://ncbi.nlm.nih.gov/pubmed/31178122 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2019.05.006 |
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