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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...
Autores principales: | Xu, Yongjie, Zang, Zelin, Xia, Jun, Tan, Cheng, Geng, Yulan, Li, Stan Z. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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