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Biocomb  

Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Biocomb", "0.4")



Attach the package and use:
library("Biocomb")
Maintained by
Natalia Novoselova
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-28
Latest Update: 2018-05-18
Description:
Contains functions for the data analysis with the emphasis on biological data, including several algorithms for feature ranking, feature selection, classification algorithms with the embedded validation procedures. The functions can deal with numerical as well as with nominal features. Includes also the functions for calculation of feature AUC (Area Under the ROC Curve) and HUM (hypervolume under manifold) values and construction 2D- and 3D- ROC curves. Provides the calculation of Area Above the RCC (AAC) values and construction of Relative Cost Curves (RCC) to estimate the classifier performance under unequal misclassification costs problem. There exists the special function to deal with missing values, including different imputing schemes.
How to cite:
Natalia Novoselova (2015). Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis. R package version 0.4, https://cran.r-project.org/web/packages/Biocomb. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.1 (2015-10-28 18:39), 0.2 (2015-11-27 08:53), 0.3 (2017-03-22 17:29), 0.4 (2018-05-18 20:34)
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