bioRxivCancer BiologyPreprint
iTALK: an R Package to Characterize and Illustrate Intercellular Communication
Y. Wang, R. Wang, S. Zhang, S. Song, C. Jiang, G. Han, M. Wang, J. Ajani, A. Futreal, L. Wang
Abstract
Crosstalk between tumor cells and other cells within the tumor microenvironment (TME) plays a crucial role in tumor progression, metastases, and therapy resistance. We present iTALK, a computational approach to characterize and illustrate intercellular communication signals in the multicellular tumor ecosystem using single-cell RNA sequencing data. iTALK can in principle be used to dissect the complexity, diversity, and dynamics of cell-cell communication from a wide range of cellular processes.
- organism: human
- assay: scRNA-seq
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
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