Dataset Information

Exprso: an R-package for the rapid implementation of machine learning algorithms.

ABSTRACT: Machine learning plays a major role in many scientific investigations. However, non-expert programmers may struggle to implement the elaborate pipelines necessary to build highly accurate and generalizable models. We introduce exprso, a new R package that is an intuitive machine learning suite designed specifically for non-expert programmers. Built initially for the classification of high-dimensional data, exprso uses an object-oriented framework to encapsulate a number of common analytical methods into a series of interchangeable modules. This includes modules for feature selection, classification, high-throughput parameter grid-searching, elaborate cross-validation schemes (e.g., Monte Carlo and nested cross-validation), ensemble classification, and prediction. In addition, exprso also supports multi-class classification (through the 1-vs-all generalization of binary classifiers) and the prediction of continuous outcomes.

SUBMITTER: Quinn T

PROVIDER: S-EPMC5832912 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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exprso: an R-package for the rapid implementation of machine learning algorithms.

Quinn Thomas T Tylee Daniel D Glatt Stephen S

F1000Research 20161027

Machine learning plays a major role in many scientific investigations. However, non-expert programmers may struggle to implement the elaborate pipelines necessary to build highly accurate and generalizable models. We introduce exprso, a new R package that is an intuitive machine learning suite designed specifically for non-expert programmers. Built initially for the classification of high-dimensional data, exprso uses an object-oriented framework to encapsulate a number of common a ...[more]

PMID: 29560250

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Exprso: an R-package for the rapid implementation of machine learning algorithms.

Publications

<i>exprso</i>: an R-package for the rapid implementation of machine learning algorithms.

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