R/iPRISM-package.R

In iPRISM: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

#' iPRISM
#'
#' @title
#' Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
#'
#' @name iPRISM-package
#'
#' @aliases iPRISM
#'
#' @description
#' Immunotherapy has revolutionized cancer treatment, but predicting patient
#' response remains challenging. Here, we presented Intelligent Predicting
#' Response to cancer Immunotherapy through Systematic Modeling (iPRISM), a
#' novel network-based model that integrates multiple data types to predict
#' immunotherapy outcomes. It incorporates gene expression, biological
#' functional network, tumor microenvironment characteristics, immune-related
#' pathways, and clinical data to provide a comprehensive view of factors
#' influencing immunotherapy efficacy. By identifying key genetic and
#' immunological factors, it provides an insight for more personalized
#' treatment strategies and combination therapies to overcome resistance
#' mechanisms.
#'
#' @examples
#' # if (!"devtools" %in% as.data.frame(installed.packages())$Package)
#' #   install.packages("devtools")
#' # devtools::install_github("hanjunwei-lab/iPRISM")
#'
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