README.md

EBBC package

The EBBC (Expression-Based Bayesian Classifier) is an R package to carry out training and classification analyses on datasets containing multiplets of values of a given measured feature. This package contains a set of functions that implement the analysis algorithm described in

L. Ricci, V. Del Vescovo, C. Cantaloni, M. Grasso, M. Barbareschi and M. A. Denti, Statistical analysis of a Bayesian classifier based on the expression of miRNAs, BMC Bioinformatics 16:287, 2015. DOI: 10.1186/s12859-015-0715-9

License

This package is free software. It is distributed under the terms of the GNU General Public License (GPL), version 3.0 - see the LICENSE.txt file for details. This package requires the R environment, which is free software released under the terms of GPL (see https://www.r-project.org/ for further details). This package requires the packages stats, utils, tools, pROC and ggplot2 (the latter two for plotting purposes). The package devtools is necessary if the package is installed from source.

Authors

(1) Department of Physics, University of Trento, 38123 Trento, Italy. (2) Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Trento, Italy. (3) CIMeC, Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.

If the package turns out to be useful for your research, please cite our paper: L. Ricci, V. Del Vescovo, C. Cantaloni, M. Grasso, M. Barbareschi and M. A. Denti, Statistical analysis of a Bayesian classifier based on the expression of miRNAs, BMC Bioinformatics 16:287, 2015.

Package info

The package consists in a set of functions for the R environment. See the user manual /docs/manual.pdf for details on the programs functionalities. All source code is under /R/. Example code and datasets are under /examples.

The package setup file, as well as details on how to install it, can be found within /setup/. Setup information is also reported in the user manual /docs/manual.pdf.



LeonardoRicci/EBBC documentation built on Jan. 24, 2020, 1:25 a.m.