Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
In single-cell RNA sequencing data of heterogeneous cell populations, cell cycle stage of individual cells would often be informative. Here, the authors introduce a computational model to reconstruct a pseudo-time series from single cell transcriptome data, identify the cell cycle stages, identify c...
Guardado en:
Autores principales: | Zehua Liu, Huazhe Lou, Kaikun Xie, Hao Wang, Ning Chen, Oscar M. Aparicio, Michael Q. Zhang, Rui Jiang, Ting Chen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/32ab51ddb7e749bda7e9f191762097b3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-cell RNA-seq Data and Applications in Cancer
por: Kaikun Xie, et al.
Publicado: (2021) -
Single-cell transcriptomic analysis of bloodstream Trypanosoma brucei reconstructs cell cycle progression and developmental quorum sensing
por: Emma M. Briggs, et al.
Publicado: (2021) -
Reconstructing cell cycle and disease progression using deep learning
por: Philipp Eulenberg, et al.
Publicado: (2017) -
Integration of Transcriptome and Methylome Highlights the Roles of Cell Cycle and Hippo Signaling Pathway in Flatfish Sexual Size Dimorphism
por: Na Wang, et al.
Publicado: (2021) -
PLANAR PSEUDO-ALMOST LIMIT CYCLES AND APPLICATIONS TO SOLITARY WAVES
por: Toni,Bourama
Publicado: (2013)