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BioMark  

Find Biomarkers in Two-Class Discrimination Problems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BioMark", "0.4.5")



Attach the package and use:
library("BioMark")
Maintained by
Ron Wehrens
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-02-08
Latest Update: 2015-09-07
Description:
Variable selection methods are provided for several classification methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests. Two approaches for selecting cutoffs can be used, one based on the stability of model coefficients under perturbation, and the other on higher criticism.
How to cite:
Ron Wehrens (2011). BioMark: Find Biomarkers in Two-Class Discrimination Problems. R package version 0.4.5, https://cran.r-project.org/web/packages/BioMark. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.6 (2011-02-08 16:49), 0.3.0 (2011-07-06 21:10), 0.3.1 (2011-09-19 15:46), 0.3.2 (2011-10-20 17:34), 0.3.3 (2011-11-29 12:17), 0.4.0 (2012-07-10 15:54), 0.4.1 (2012-11-06 12:44), 0.4.2 (2014-08-06 07:29)
Other packages that cited BioMark R package
View BioMark citation profile
Other R packages that BioMark depends, imports, suggests or enhances
Complete documentation for BioMark
Functions, R codes and Examples using the BioMark R package
Some associated functions: HCthresh . ROC . SpikedApple . auxBiom . biom.options . gen.data . get.biom . get.segments . scalefun . selection . spikedApples . traceplot . 
Some associated R codes: biom.HC.R . biom.coef.R . biom.options.R . biom.stab.R . gen.data.R . get.biom.R . roc.R . scale.R . segments.R .  Full BioMark package functions and examples
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