Package: iPRISM 0.1.1

iPRISM: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

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.

Authors:Junwei Han [aut, cre, ctb], Yinchun Su [aut], Siyuan Li [aut]

iPRISM_0.1.1.tar.gz
iPRISM_0.1.1.zip(r-4.5)iPRISM_0.1.1.zip(r-4.4)iPRISM_0.1.1.zip(r-4.3)
iPRISM_0.1.1.tgz(r-4.5-any)iPRISM_0.1.1.tgz(r-4.4-any)iPRISM_0.1.1.tgz(r-4.3-any)
iPRISM_0.1.1.tar.gz(r-4.5-noble)iPRISM_0.1.1.tar.gz(r-4.4-noble)
iPRISM_0.1.1.tgz(r-4.4-emscripten)iPRISM_0.1.1.tgz(r-4.3-emscripten)
iPRISM.pdf |iPRISM.html
iPRISM/json (API)

# Install 'iPRISM' in R:
install.packages('iPRISM', repos = c('https://hanjunwei-lab.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 113 downloads 4 exports 73 dependencies

Last updated 9 months agofrom:4c4a68f55e. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winOKMar 17 2025
R-4.5-macOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-winNOTEMar 17 2025
R-4.4-macNOTEMar 17 2025
R-4.4-linuxNOTEMar 17 2025
R-4.3-winNOTEMar 17 2025
R-4.3-macNOTEMar 17 2025

Exports:cor_plotget_gsea_pathget_logiModelgseafun

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpbapplypillarpkgconfigpurrrR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

iPRISM User Guide

Rendered fromPRISM.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2024-07-15
Started: 2024-07-15