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| % Generated by roxygen2: do not edit by hand | |
| % Please edit documentation in R/score_calculation.R | |
| \name{calc_mscore} | |
| \alias{calc_mscore} | |
| \title{Calculating Boolean model score wrt to a dataset} | |
| \usage{ | |
| calc_mscore(bmodel, istate, fcdata, overlap_gene, max_varperrule, | |
| model_encoding, detail = F) | |
| } | |
| \arguments{ | |
| \item{bmodel}{S4 BoolModel object. Model to be evaluated.} | |
| \item{istate}{data frame. Must have only 1 row, which represents 1 initial state.} | |
| \item{fcdata}{matrix. Represents the expression data df.} | |
| \item{overlap_gene}{character vector. Specify which genes are present in both model and data inputs.} | |
| \item{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.} | |
| \item{model_encoding}{numeric. Only required if the bmodel is encoded.} | |
| \item{detail}{logical. Whether to give more details in score calculation. Default to FALSE.} | |
| } | |
| \description{ | |
| This function calculates a score for a Boolean model wrt to a dataset. | |
| } | |