R/sample2response.R

In netresponse: Functional Network Analysis

#' @title sample2response
#' @description Probabilistic sample-response assignments for given subnet.
#' @usage sample2response(model, subnet.id, mode = 'soft')
#' @param model Result from NetResponse (detect.responses function).
#' @param subnet.id Subnet identifier. A natural number which specifies one of
#' the subnetworks within the 'model' object.
#' @param mode soft: gives samples x responses probabilistic assignment matrix;
#' hard: gives the most likely response for each sample
#' @return A matrix of probabilities. Sample-response assignments for given
#' subnet, listing the probability of each response, given a sample.
#' @author Leo Lahti \email{leo.lahti@@iki.fi}
#' @references Leo Lahti et al.: Global modeling of transcriptional responses
#' in interaction networks. Bioinformatics (2010).  See citation('netresponse')
#' for citation details.
#' @keywords utilities
#' @export
#' @examples
#' data( toydata )        # Load toy data set
#' D    <- toydata$emat   # Response matrix (for example, gene expression)
#' netw <- toydata$netw   # Network
#' 
#' # Detect network responses
#' model <- detect.responses(D, netw, verbose = FALSE)
#' 
#' # Assign samples to responses (soft, probabilistic assignments sum to 1)
#' response.probabilities <- sample2response(model, subnet.id = 'Subnet-1')
sample2response <- function(model, subnet.id, mode = "soft") {
    
    if (is.numeric(subnet.id)) {
        subnet.id <- paste("Subnet", subnet.id, sep = "-")
        warning("subnet.id given as numeric; converting to character: ", subnet.id, 
            sep = "")
    }
    
    # P(response | sample) assignment.matrix <-
    # model@models[[subnet.id]]$posterior$qOFz
    assignment.matrix <- getqofz(model, subnet.id, log = FALSE)
    
    if (mode == "hard") {
        sample.names <- rownames(assignment.matrix)
        assignment.matrix <- colnames(assignment.matrix)[unname(apply(assignment.matrix, 
            1, which.max))]
        names(assignment.matrix) <- sample.names
    }
    
    assignment.matrix
    
}