Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data

Dimension reduction and (spatial) clustering is usually performed sequentially; however, the low-dimensional embeddings estimated in the dimension-reduction step may not be relevant to the class labels inferred in the clustering step. We therefore developed a computation method, Dimension-Reduction...

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Detalles Bibliográficos
Autores principales: Liu, Wei, Liao, Xu, Yang, Yi, Lin, Huazhen, Yeong, Joe, Zhou, Xiang, Shi, Xingjie, Liu, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262606/
https://www.ncbi.nlm.nih.gov/pubmed/35349708
http://dx.doi.org/10.1093/nar/gkac219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262606/
https://www.ncbi.nlm.nih.gov/pubmed/35349708
http://dx.doi.org/10.1093/nar/gkac219

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