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-In this modeling framework, counts denoted as $K_{ij}$ for gene i and sample j are generated using a negative binomial distribution. The negative binomial distribution considers a fitted mean $\mu_{ij}$ and a gene-specific dispersion parameter $\alpha_i$.
+In this modeling framework, counts denoted as $`K_{ij}`$ for gene i and sample j are generated using a negative binomial distribution. The negative binomial distribution considers a fitted mean $`\mu_{ij}`$ and a gene-specific dispersion parameter $`\alpha_i`$.
 
 The fitted mean $\mu_{ij}$ is determined by a parameter, qij, which is proportionally related to the sum of all effects specified using `init_variable()` or `add_interaction()`. If basal gene expressions are provided, the $\mu_{ij}$ values are scaled accordingly using the gene-specific basal expression value ($bexpr_i$).