Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction

Dimensionality reduction and visualization play an important role in biological data analysis, such as data interpretation of single-cell RNA sequences (scRNA-seq). It is desired to have a visualization method that can not only be applicable to various application scenarios, including cell clusterin...

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Detalles Bibliográficos
Autores principales: Xu, Yongjie, Zang, Zelin, Xia, Jun, Tan, Cheng, Geng, Yulan, Li, Stan Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073100/
https://www.ncbi.nlm.nih.gov/pubmed/37016133
http://dx.doi.org/10.1038/s42003-023-04662-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073100/
https://www.ncbi.nlm.nih.gov/pubmed/37016133
http://dx.doi.org/10.1038/s42003-023-04662-z

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