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MiRNAQCD (version 1.1.3)

Micro-RNA Quality Control and Diagnosis

Description

A complete and dedicated analytical toolbox for quality control and diagnosis based on subject-related measurements of micro-RNA (miRNA) expressions. The package consists of a set of functions that allow to train, optimize and use a Bayesian classifier that relies on multiplets of measured miRNA expressions. The package also implements the quality control tools required to preprocess input datasets. In addition, the package provides a function to carry out a statistical analysis of miRNA expressions, which can give insights to improve the classifier's performance. The method implemented in the package was first introduced 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 . The package is thoroughly described in M. Castelluzzo, A. Perinelli, S. Detassis, M. A. Denti and L. Ricci, "MiRNA-QC-and-Diagnosis: An R package for diagnosis based on MiRNA expression", SoftwareX 12:100569, 2020 . Please cite both these works if you use the package for your analysis. DISCLAIMER: The software in this package is for general research purposes only and is thus provided WITHOUT ANY WARRANTY. It is NOT intended to form the basis of clinical decisions. Please refer to the GNU General Public License 3.0 (GPLv3) for further information.

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Version

Install

install.packages('MiRNAQCD')

Monthly Downloads

186

Version

1.1.3

License

GPL-3

Maintainer

Alessio Perinelli

Last Published

May 2nd, 2023

Functions in MiRNAQCD (1.1.3)

miRNA_diagnosis

Classification of a dataset (diagnosis).
miRNA_loadDiagnosticThreshold

Load diagnostic threshold values.
miRNA_plotThresholds

Plot of scores and thresholds of a Bayes classifier.
miRNA_plotHistograms

Plot of classifier distribution histograms (Target and Versus).
miRNA_removeOutliers

Removal of dataset outliers.
miRNA_assessQualityThreshold

Assessment of quality threshold values.
miRNA_loadQualityThreshold

Load quality threshold values.
miRNA_plotROC

Plot of classifier ROC curve.
miRNA_expressionPreprocessing

Pre-processing of datasets.
miRNA_classifierSetup

Analysis of features and training of classifiers.