Gene prioritization based on random walks with restarts and absorbing states, to define gene sets regulating drug pharmacodynamics from single-cell analyses

HIGHLIGHTS

SUMMARY

Gene differential expression analyses quantify the changes in gene_expression levels between tested experimental conditions. Single-cell differential expression analyses have elevated the issue, where gene differential expression between experimental groups is hindered by gene_expression variability between cells. Although cell-to-cell variability in gene_expression is typically overlooked in most analyses, the authors and others have observed that these differences between clonal cells, can impact the overall cell population response to a stimulation. Most single-cell technologies are still unable to access meaningful cell information within clonal populations once cell cycle states signatures are regressed . . .

 



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