calc_mscore: Calculating Boolean model score wrt to a dataset
In BTR: Training and Analysing Asynchronous Boolean Models

This function calculates a score for a Boolean model wrt to a dataset.

1 2	calc_mscore(bmodel, istate, fcdata, overlap_gene, max_varperrule, model_encoding, detail = F)

`bmodel`	S4 BoolModel object. Model to be evaluated.
`istate`	data frame. Must have only 1 row, which represents 1 initial state.
`fcdata`	matrix. Represents the expression data df.
`overlap_gene`	character vector. Specify which genes are present in both model and data inputs.
`max_varperrule`	integer. Maximum number of terms per rule (combining both act and inh rule). Note that this number must not be smaller than number of variables. Default to 6.
`model_encoding`	numeric. Only required if the bmodel is encoded.
`detail`	logical. Whether to give more details in score calculation. Default to FALSE.