The diversification of methods for studying cell–cell interactions and communication
No cell lives in a vacuum, and the molecular interactions between cells define most
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
phenotypes. Transcriptomics provides rich information to infer cell–cell interactions and …
CPPLS-MLP: a method for constructing cell–cell communication networks and identifying related highly variable genes based on single-cell sequencing and spatial …
T Zhang, Z Wu, L Li, J Ren, Z Zhang… - Briefings in …, 2024 - academic.oup.com
In the growth and development of multicellular organisms, the immune processes of the
immune system and the maintenance of the organism's internal environment, cell …
immune system and the maintenance of the organism's internal environment, cell …
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data with miRTalk
MicroRNAs are released from cells in extracellular vesicles (EVs), representing an essential
mode of cell-cell communication (CCC) via an inhibitory effect on gene expression. The …
mode of cell-cell communication (CCC) via an inhibitory effect on gene expression. The …
Feature selection in single-cell RNA sequencing data: a comprehensive evaluation
P Paplomatas, K Lazaros, GN Dimitrakopoulos… - Academia …, 2024 - academia.edu
Single-cell RNA sequencing (scRNA-seq) has revolutionized biological and medical
research, providing unique insights into the intricate cell-type compositions within various …
research, providing unique insights into the intricate cell-type compositions within various …