Research
Bioinformatic

classyfire

Description and applications

classyfire is an R package that provides a collection of functions for the creation and application of highly optimised, robustly evaluated ensembles of support vector machines (SVMs). The package takes care of training individual SVM classifiers using a fast parallel heuristic algorithm, and combines individual classifiers into ensembles. Robust metrics of classification performance are offered by bootstrap resampling and permutation testing.

Publications

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Keywords

bioinformatics, machine learning, pattern recognition, R, SVM

Prof Conrad Bessant

School of Biological and Chemical Sciences

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