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iPRISM  

Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
View on CRAN: Click here


Download and install iPRISM package within the R console
Install from CRAN:
install.packages("iPRISM")

Install from Github:
library("remotes")
install_github("cran/iPRISM")

Install by package version:
library("remotes")
install_version("iPRISM", "0.1.1")



Attach the package and use:
library("iPRISM")
Maintained by
Junwei Han
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-14
Latest Update: 2024-07-14
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.
How to cite:
Junwei Han (2024). iPRISM: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling. R package version 0.1.1, https://cran.r-project.org/web/packages/iPRISM. Accessed 07 Nov. 2024.
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Complete documentation for iPRISM
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