Inference and analysis of cell-cell communication using CellChat
Single-cell methods record molecule expressions of cells in a given tissue, but understanding interactions between cells remains challenging. Here the authors show by applying systems biology and machine learning approaches that they can infer and analyze cell-cell communication networks in an easil...
Main Authors: | Suoqin Jin, Christian F. Guerrero-Juarez, Lihua Zhang, Ivan Chang, Raul Ramos, Chen-Hsiang Kuan, Peggy Myung, Maksim V. Plikus, Qing Nie |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-02-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-21246-9 |
Similar Items
-
scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
by: Suoqin Jin, et al.
Published: (2020-02-01) -
Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds
by: Christian F. Guerrero-Juarez, et al.
Published: (2019-02-01) -
Inferring spatial and signaling relationships between cells from single cell transcriptomic data
by: Zixuan Cang, et al.
Published: (2020-04-01) -
The Role of Symmetric Stem Cell Divisions in Tissue Homeostasis.
by: Jienian Yang, et al.
Published: (2015-12-01) -
Near Equilibrium Calculus of Stem Cells in Application to the Airway Epithelium Lineage.
by: Zheng Sun, et al.
Published: (2016-07-01)