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Biocomb
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]
[Scholar Profile | Author Map]
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:
Other packages that cited Biocomb R package
View Biocomb citation profile
Other R packages that Biocomb depends,
imports, suggests or enhances
Functions, R codes and Examples using
the Biocomb R package
Some associated functions: Biocomb-package . CalcGene . CalcROC . Calculate3D . CalculateHUM_Ex . CalculateHUM_Plot . CalculateHUM_ROC . CalculateHUM_seq . ProcessData . chi2.algorithm . classifier.loop . compute.auc.permutation . compute.auc.random . compute.aucs . cost.curve . data_test . datasetF6 . generate.data.miss . input_miss . leukemia72 . leukemia72_2 . leukemia_miss . pauc . pauclog . plotClass.result . plotRoc.curves . select.cfs . select.fast.filter . select.forward.Corr . select.forward.wrapper . select.inf.chi2 . select.inf.gain . select.inf.symm . select.process . select.relief .
Some associated R codes: CalculateHUM_Ex.R . CalculateHUM_ROC.R . CalculateHUM_seq.R . ROC_Plot.R . RcppExports.R . Sub.filename.R . char.to.numeric.R . class_cross.R . compute.auc.pvalues.R . input_miss.R . pauc.R . plotClass.result.R . plotRoc.curves.R . rcc.aac.R . select.feature.info.R . Full Biocomb package functions and examples
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