The possibility of using microRNA (miRNA) levels as diagnostic and prognostic tools to detect different pathologies requires the implementation of reliable classifiers, whose training and use call for quality control of data corresponding to miRNA expression. In this work we present the MiRNA-QC-andDiagnosis package. The package provides a set of functions for the R environment that implement the required quality control steps and thereupon allow to train, use and optimize a Bayesian classifier for diagnosis based on the measured miRNA expressions. The package thus makes up a complete and dedicated analytical toolbox for miRNA-based diagnosis.

MiRNA-QC-and-Diagnosis: An R package for diagnosis based on MiRNA expression / Castelluzzo, Michele; Perinelli, Alessio; Detassis, Simone; Denti, Michela Alessandra; Ricci, Leonardo. - In: SOFTWAREX. - ISSN 2352-7110. - ELETTRONICO. - 12:(2020), pp. 1005691-1005697. [10.1016/j.softx.2020.100569]

MiRNA-QC-and-Diagnosis: An R package for diagnosis based on MiRNA expression

Castelluzzo, Michele;Perinelli, Alessio;Detassis, Simone;Denti, Michela Alessandra;Ricci, Leonardo
2020-01-01

Abstract

The possibility of using microRNA (miRNA) levels as diagnostic and prognostic tools to detect different pathologies requires the implementation of reliable classifiers, whose training and use call for quality control of data corresponding to miRNA expression. In this work we present the MiRNA-QC-andDiagnosis package. The package provides a set of functions for the R environment that implement the required quality control steps and thereupon allow to train, use and optimize a Bayesian classifier for diagnosis based on the measured miRNA expressions. The package thus makes up a complete and dedicated analytical toolbox for miRNA-based diagnosis.
Castelluzzo, Michele; Perinelli, Alessio; Detassis, Simone; Denti, Michela Alessandra; Ricci, Leonardo
MiRNA-QC-and-Diagnosis: An R package for diagnosis based on MiRNA expression / Castelluzzo, Michele; Perinelli, Alessio; Detassis, Simone; Denti, Michela Alessandra; Ricci, Leonardo. - In: SOFTWAREX. - ISSN 2352-7110. - ELETTRONICO. - 12:(2020), pp. 1005691-1005697. [10.1016/j.softx.2020.100569]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/270801
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