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VALORATE specifications

Information


Unique identifier OMICS_15942
Name VALORATE
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data The survival times and censoring indicators (c vector).
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0, GNU General Public License version 2.0
Computer skills Advanced
Version 1.0-1
Stability Stable
Source code URL https://cran.r-project.org/src/contrib/valorate_1.0-1.tar.gz
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Victor Trevino <>

Publication for VALORATE

VALORATE citations

 (2)
library_books

Identification of outcome related driver mutations in cancer using conditional co occurrence distributions

2017
PMCID: 5327384
PMID: 28240231
DOI: 10.1038/srep43350

[…] of the log-rank test has been systematically applied, even though it assumes a large and similar number of patients in both risk groups, which is violated in cancer genomics. here, we propose valorate, a novel algorithm for the estimation of the null distribution for the log-rank, independent of the number of mutations. valorate is based on conditional distributions of the co-occurrences […]

library_books

Comparison of antispasmodic effect of hydroalcoholic extract of Dracocephalum kotschyi Boiss. in rat uterus and ileum

2016
PMCID: 5022376
PMID: 27651808
DOI: 10.4103/1735-5362.189295

[…] the extract was prepared by percolation (). from 150 g dried plant materials, 53.7 g dried extract was obtained., acetylcholine hydrochloride was obtained from sigma co. (germany), 17-β-estradiol valorate and oxytocin were purchased from aburihan pharmaceutical co. (iran). salbutamol was supplied by neolab limited (uk). 17-β-estradiol was prepared in cooking oil as 100 μg/ml stock solution […]


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VALORATE institution(s)
Cátedra de Bioinformática, Escuela de Medicina, Tecnológico de Monterrey, Monterrey Nuevo León, México
VALORATE funding source(s)
This work has been supported by the Grupos de Enfoque from Tecnológico de Monterrey, and from CONACyT grant 233489 FONSEC SSA/IMSS/ISSSTE, and SNI.

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