Triclustering algorithms offer a sophisticated approach to analysing gene expression data by simultaneously grouping genes, experimental conditions, and temporal points. These multidimensional methods ...
This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
Biclustering algorithms represent a key methodological advance in analysing gene expression data, enabling simultaneous clustering of both genes and experimental conditions. This dual clustering ...