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iPRISM

0.1.1

Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling

0packages depend
2.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Junwei HanFirst published 2024-07-141 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.1K
CRAN downloads in the past year
Rank #17,474 · ~6/day · ~175/mo
Daily download trend is not available in this view yet.
20530 days
63390 days
2.1K1 year
Compare downloads with other packages →
Also on131 r2u25 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (7)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer, Contributor
Authors (3)
Author, Maintainer, Contributor
Author
Contributors (1)
Author, Maintainer, Contributor
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-07-14
Total releases
1 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
1.2 MB / 10 files
Download size
1.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iPRISM")
Han, J., Li, S., & Su, Y. (2024). iPRISM: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.iPRISM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for iPRISM version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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