A geometric approach to characterize the functional identity of single cells
Functional characterisation of single cells is crucial for uncovering the true extent of cellular heterogeneity. Here the authors offer an approach to infer functional identities of cells from their transcriptomes, identify their dominant function, and reconstruct the underlying regulatory networks.
Guardado en:
Autores principales: | Shahin Mohammadi, Vikram Ravindra, David F. Gleich, Ananth Grama |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1f15abdf60fc40a6b3faeb20563a711f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A multiresolution framework to characterize single-cell state landscapes
por: Shahin Mohammadi, et al.
Publicado: (2020) -
Parallel analysis of tri-molecular biosynthesis with cell identity and function in single cells
por: Samuel C. Kimmey, et al.
Publicado: (2019) -
Hierarchical progressive learning of cell identities in single-cell data
por: Lieke Michielsen, et al.
Publicado: (2021) - Geometric and functional analysis GAFA.
-
Geometric imaging of borophene polymorphs with functionalized probes
por: Xiaolong Liu, et al.
Publicado: (2019)