scSurv v0.2.1

Description

scSurv is a novel method for single-cell survival analysis. This model offers three main analyses:

1. Quantification of individual cells' contributions to clinical outcomes
2. Identification of prognosis-associated gene sets
3. Mapping of spatial hazard distributions using spatial transcriptome data

Through these applications, scSurv provides a comprehensive and interpretable framework that reveals heterogeneity in the clinical significance of cells. This framework enables the identification of novel cell populations and genes involved in the prognosis.

Teppei Shimamura's lab, Institute of Science Tokyo, Tokyo, Japan

Yasuhiro Kojima's lab, National Cancer Center Research Institute, Tokyo, Japan