Package: SurvSPro 0.1.0
Seungjun Ahn
SurvSPro: Survival Prediction with Spatially Adjusted Protein Summaries
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>.
Authors:
SurvSPro_0.1.0.tar.gz
SurvSPro_0.1.0.tar.gz(r-4.7-any)SurvSPro_0.1.0.tar.gz(r-4.6-any)
SurvSPro_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SurvSPro/json (API)
| # Install 'SurvSPro' in R: |
| install.packages('SurvSPro', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- cells_example_df - Simulated spatial proteomics dataset.
- surv_example_df - Simulated patient-level survival data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cf24d51388. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 197 | ||
| linux-release-x86_64 | OK | 191 | ||
| wasm-release | OK | 103 |
Exports:fit_spatial_coxgam_features
Dependencies:clidplyrgenericsgluelatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigR6rlangspsurvivaltibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated spatial proteomics dataset. | cells_example_df |
| fit_spatial_cox | fit_spatial_cox |
| gam_features | gam_features |
| Simulated patient-level survival data | surv_example_df |