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rbsurv specifications

Information


Unique identifier OMICS_02088
Name rbsurv
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.38.0
Stability Stable
Requirements
survival, Biobase(>=2.5.5), R(>=2.5.0)
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Soo-heang Eo <>

rbsurv citations

 (5)
library_books

A prognostic 4 gene expression signature for patients with HER2 negative breast cancer receiving taxane and anthracycline based chemotherapy

2017
PMCID: 5732731
PMID: 29262565
DOI: 10.18632/oncotarget.21872

[…] genes by using the clusterprofiler package in r []. a robust likelihood-based survival modeling approach [–] was used to select the optimal survival-associated gene signature by using the r package “rbsurv”. the detailed algorithmic procedure is as follows: (i) the samples were randomly split into the training set with n*(1 − p) samples and the validation set with n*p samples (p = 1/3). […]

library_books

Identification and validation of a prognostic 9 genes expression signature for gastric cancer

2017
PMCID: 5650304
PMID: 29088749
DOI: 10.18632/oncotarget.17764

[…] value < 0.05 were selected as seed genes., for the utility of the seed genes in clinical diagnosis, robust likelihood-based survival models [, ] were constructed to select feature genes by using rbsurv in r language [–] as the followings:, 1) the samples were randomly divided into the training set with n*(1 − p) samples and the validation set with n*p samples, with p = 1/3. in subsequence, […]

library_books

A seven gene signature predicts overall survival of patients with colorectal cancer

2016
PMCID: 5707004
PMID: 29221110
DOI: 10.18632/oncotarget.10982

[…] obtain equal distributions of the probe signal intensities., a robust likelihood-based survival modeling approach [] was used to select the gene signature. we implemented our analysis by using the “rbsurv” package in r. the detailed algorithm is summarized as follows:, (i). we randomly divided the samples into the training set with n*(1 − p) samples and the validation set with n*p samples, […]

library_books

A 4 miRNA signature predicts the therapeutic outcome of glioblastoma

2016
PMCID: 5216759
PMID: 27302927
DOI: 10.18632/oncotarget.9945

[…] with ‘winsorized mean’ was applied as described above., in order to search for a mirna signature in mirna expression data set of the discovery cohort associated with patient survival, the r package rbsurv was used []. the forward-selection algorithm implemented in the package computed the partial likelihood of the cox model for a sequential selection of mirnas. the best performing model […]

library_books

Immune genes are associated with human glioblastoma pathology and patient survival

2012
PMCID: 3507656
PMID: 22980038
DOI: 10.1186/1755-8794-5-41

[…] in months as the response., an optimal survival model was built on ia genes associated with survival as described in de tayrac et al. []. analyses were performed using survival, survivalroc and rbsurv r packages. these packages selected survival-associated genes and estimated the regression coefficients of the optimal survival model after adjustment on the study factor. all analyses […]


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