
This archive contains scripts for the computational analyses performed for this paper. File information: Analyze mouse scRNAseq datasets.R: Script for analyzing mouse single cell RNA-Seq data Cellular communiations using modified nichenetr.R: NicheNet script for cell-cell communication analysis for mouse single cell RNA-Seq data RNA velocity of only Hepatocyte.ipynb: Python script for RNA velocity analysis for mouse single cell RNA-Seq data Spatial transcriptomic analysis using CellTrek.R: Script for annotating mouse spatial transcriptomic data with CellTrek Analyze human scRNAseq datasets.R: Script for analyzing human single cell RNA-Seq data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
