Additional file 2 of Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature
Supplementary Material 2. Fig. S2 (a) Upper, residual sum of squares (RSS) of different signature number selections. Lower, percentage of variance explained by the selection of different signature numbers. (b) Relative contributions of the seven mutational features.
Institutions
- Beijing Institute of Technology (CN)
- Shanxi Medical University (CN)
- Shanxi Provincial Cancer Hospital (CN)
- Second Hospital of Shanxi Medical University (CN)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.28327849.v1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00