survJamda-package: Survival Prediction by Joint Analysis of Microarray Gene...

In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data

Description

Prediction of survival and risk assessment of patients using joint analysis of microarray gene expression data.

Details

Package:	survJamda
Type:	Package
Version:	1.1.4
Date:	2015-11-01
Depends:	survival, survivalROC, ecodist, survcomp, survJamda.data
License:	GPL (>= 2)
LazyLoad:	yes

Author(s)

Haleh Yasrebi

Maintainer: Haleh Yasrebi <[e-mail]>

References

Haleh Yasrebi, Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients, Brief Bioinform, 2015 doi:10.1093/bib/bbv092, PMID:26504096.

Yasrebi H. SurvJamda: an R package to predict patients' survival and risk assessment using joint analysis of microarray gene expression data. Bioinformatics. 2011 Apr 15;27(8):1168-9. doi: 10.1093/bioinformatics/btr103. Epub 2011 Mar 2. PubMed PMID: 21367873.

Yasrebi H., Sperisen P., Praz V., Bucher P., Can Survival Prediction Be Improved By Merging Gene Expression Data Sets?, PLoS ONE 4(10): e7431. doi:10.1371/journal.pone.0007431, 2009, PMID: 21367873.

Yasrebi, H. Prediction of survival and risk assessment using joint analysis of microarray gene expression data, PhD thesis, EPFL, Switzerland, doi:10.5075/Thesis 4494, 2010, PMID: 19851466.

See Also

coxph, survivalROC, corgen, p.adjust, concordance.index, sbrier.score2proba

survJamda documentation built on May 1, 2019, 8:50 p.m.