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

Michele Castelluzzo | Zendy; Alessio Perinelli | Zendy; Simone Detassis | Zendy; Michela A. Denti | Zendy; Leonardo Ricci | Zendy

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

Author(s) -

Michele Castelluzzo,

Alessio Perinelli,

Simone Detassis,

Michela A. Denti,

Leonardo Ricci

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100569

Subject(s) - computer science , toolbox , microrna , classifier (uml) , artificial intelligence , machine learning , r package , expression (computer science) , data mining , biology , programming language , biochemistry , gene

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-and-Diagnosis 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.

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