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SurvSPro  

Survival Prediction with Spatially Adjusted Protein Summaries
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SurvSPro", "0.1.0")



Attach the package and use:
library("SurvSPro")
Maintained by
Seungjun Ahn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-19
Latest Update: 2026-06-19
Description:
A survival prediction framework using spatially adjusted protein summaries from spatial proteomics data, including imaging mass cytometry data. Cell-level protein intensities are modeled with spatial spline regression to estimate spatially adjusted mean expression and residual variance. Methodological details are described in Ahn et al. (2026) <doi:10.64898/2026.06.08.730964>.
How to cite:
Seungjun Ahn (2026). SurvSPro: Survival Prediction with Spatially Adjusted Protein Summaries. R package version 0.1.0, https://cran.r-project.org/web/packages/SurvSPro. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Complete documentation for SurvSPro
Functions, R codes and Examples using the SurvSPro R package
Full SurvSPro package functions and examples
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