Analisi di leggi statistiche in dati di scRNA sequencing

Use of single cell RNA sequencing has become widespread in scientic research. The development of this technology has led to a substantial field of research into the statistical and computational methods needed to process and analyze RNA seq data. In this paper we have tried to give an innovative point of view by analyzing the RNA-cell system with the language of the components systems. Later we focused on finding a method that allows the identification of marker genes in such a way to be able to infer transcriptional heterogeneity within supposedly homogeneous cell types. In particular, we analyzed the bimodality of the distribution of gene expression values, assuming that it is a good method for discriminating marker genes.