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Single-cell and Spatial Transcriptomics Clustering with an Optimized Adaptive K-Nearest Neighbor Graph

Single-cell and spatial transcriptomics have been widely used to characterize cellular landscape in complex tissues. To understand cellular heterogeneity, one essential step is to define cell types through unsupervised clustering. While typical clustering methods have difficulty in identifying rare...

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Detalles Bibliográficos
Autores principales:	Li, Jia, Shyr, Yu, Liu, Qi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614787/ https://www.ncbi.nlm.nih.gov/pubmed/37905097 http://dx.doi.org/10.1101/2023.10.13.562261

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