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optBiomarker  

Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules
View on CRAN: Click here


Download and install optBiomarker package within the R console
Install from CRAN:
install.packages("optBiomarker")

Install from Github:
library("remotes")
install_github("cran/optBiomarker")

Install by package version:
library("remotes")
install_version("optBiomarker", "1.0-28")



Attach the package and use:
library("optBiomarker")
Maintained by
Mizanur Khondoker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-05-10
Latest Update: 2021-01-18
Description:
Estimates optimal number of biomarkers for two-group classification based on microarray data.
How to cite:
Mizanur Khondoker (2009). optBiomarker: Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules. R package version 1.0-28, https://cran.r-project.org/web/packages/optBiomarker. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 1.0-20 (2009-05-10 20:55), 1.0-21 (2011-02-10 09:22), 1.0-22 (2012-03-19 20:48), 1.0-23 (2012-08-10 17:36), 1.0-24 (2013-03-04 07:46), 1.0-27 (2013-07-11 07:37)
Other packages that cited optBiomarker R package
View optBiomarker citation profile
Other R packages that optBiomarker depends, imports, suggests or enhances
Complete documentation for optBiomarker
Functions, R codes and Examples using the optBiomarker R package
Some associated functions: classificationError.data.frame . errorDbase . internal . optBiomarker-package . optimiseBiomarker . realBiomarker . simData . 
Some associated R codes: classificationError.data.frame.R . internal.R . optimiseBiomarker.R . simData.R .  Full optBiomarker package functions and examples
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