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survcomp: an R/Bioconductor package for performance assessment and comparison of survival models
Open accessAbstract
Summary: The survcomp package provides functions to assess and statistically compare the performance of survival/risk prediction models. It implements state-of-the-art statistics to (i) measure the performance of risk prediction models; (ii) combine these statistical estimates from multiple datasets using a meta-analytical framework; and (iii) statistically compare the performance of competitive models. Availability: The R/Bioconductor package survcomp is provided open source under the Artistic-2.0 License with a user manual containing installation, operating instructions and use case scenarios on real datasets. survcomp requires R version 2.13.0 or higher. http://bioconductor.org/packages/release/bioc/html/survcomp.html Contact: bhaibeka@jimmy.harvard.edu; mschroed@jimmy.harvard.edu Supplementary Information: Supplementary data are available at Bioinformatics online.
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Deep learning-based multi-omics integration robustly predicts survival in liver cancer
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Metadata
- Authors
- Schröder, M. S., Culhane, A. C., Quackenbush, J., & Haibe-Kains, B.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-07
- Volume
- 27
- Issue
- 22
- Pages
- 3206-3208
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2128360321
- Cited by
- 470
- References
- 20
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- green
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