Generally speaking, there are two main types of radio resource sharing methods used by D2D communication in a cellular network: underlay and overlay inband communication [10].
Understanding of the complex molecular networks underlying cellular processes is the key challenge of systems biology.
In particular, this affects attempts at reverse engineering gene regulatory networks underlying cellular or developmental processes, where models are used to infer regulatory interactions – and hence regulatory network topology – from quantitative gene expression data.
It is increasingly recognized that perturbational expression compendia are essential to identify the gene networks underlying cellular function, and efforts to build these for different organisms are currently underway.
High-throughput experimental techniques are providing the data required to understand the connections between the biochemical nodes in the cellular sub-networks underlying specific functions.
Complex biological systems and cellular networks may underlie most relationships from genotype to phenotype.
In this study we define the cellular networks that underlie epidermal homeostasis as founded in the existence of subsets of SCs with distinct tissue contributions.
A systems biology approach integrating data from large-scale measurements (e.g. transcriptomics, proteomics and genomics) is successfully contributing to deciphering regulatory networks underlying the response of many different cellular systems to perturbations.
