 , such as  higher likelihood of transcription for larger positive skewness parameter (asymmetry index) \beta, achieving the minimum likelihood of transcription by tuning skewness parameter \beta, achieving the higher likelihood of transcription by tuning non-Gaussianity index \alpha, and a bifurcation for transcription at the critical value \alpha = 1. We conduct a series of numerical experiments about `regulating' the likelihood of gene transcription by tuning asymmetric stable L\'evy noise parameters .
<clarity>  , such as  higher likelihood of transcription for larger positive skewness parameter (asymmetry index) \beta, achieving the minimum likelihood of transcription by tuning skewness parameter \beta, achieving the higher likelihood of transcription by tuning non-Gaussianity index \alpha, and a bifurcation for transcription at the critical value \alpha = 1. We conduct a series of numerical experiments about `regulating' the likelihood of gene transcription by tuning asymmetric stable L\'evy noise parameters .
 , such as higher likelihood of transcription for larger positive skewness (i.e., asymmetry) index \beta, causing a bifurcation for the likelihood of transcription by tuning skewness parameter \beta, achieving the higher likelihood of transcription by tuning non-Gaussianity index \alpha, and a bifurcation for transcription at the critical value \alpha = 1. We conduct a series of numerical experiments about `regulating' the likelihood of gene transcription by tuning asymmetric stable L\'evy noise parameters .