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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | SurvSPro_0.1.0.tar.gz |
568.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | SurvSPro_0.1.0.tar.gz |
568.7 KiB |
0.1.0 |
rolling source/ R- | SurvSPro_0.1.0.tar.gz |
487.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | SurvSPro_0.1.0.tar.gz |
568.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | SurvSPro_0.1.0.tar.gz |
568.7 KiB |
0.1.0 |
latest source/ R- | SurvSPro_0.1.0.tar.gz |
487.5 KiB |
0.1.0 |
2026-04-23 source/ R- | SurvSPro_0.1.0.tar.gz |
0 B |