@@ -14,7 +14,7 @@ The Markovchain model and the scripts to generate it was developed in the [Compu
`Script_markov.R` contains the necessary functions for the Markovchain model. `Run_markov.R` contains the necessary commands to generate the output files.
Each sub-population are taken as input, and the respective steady state probability distributions are saved in as output as txt files (with format `SS_`).
Comparison among the steady state probability distribution are made to identiy the subpopulation specific intermediates (`SS_all_network_final`). This file contains the final list of subpopulation specific signaling intermediates. For more details refer the original study, [Quiescence modulates stem cell maintenance and regenerative capacity in the aging brain](https://www.sciencedirect.com/science/article/pii/S0092867419301035)
Comparison among the steady state probability distribution are made to identiy the subpopulation specific intermediates (`SS_all_network_final`). This file contains the final list of subpopulation specific signaling intermediates. For more details refer the original study, [Quiescence modulates stem cell maintenance and regenerative capacity in the aging brain](https://www.sciencedirect.com/science/article/pii/S0092867419301035)
In order to run the scripts following R packages are required to be installed: `plyr`, `igraph`, `Matrix`, `reshape2`
