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Identification of spatial expression trends in single-cell gene expression data
Methods for spatial gene expression analyses at single-cell resolution are becoming available, whereas computational strategies for spatial gene expression analyses are lacking. We present a computational method (trendsceek) based on marked point processes that identifies genes with significant spat...
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| Publicado no: | Nat Methods |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6314435/ https://ncbi.nlm.nih.gov/pubmed/29553578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.4634 |
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