funbarRF: Fungal Species Identification using DNA Barcode with Random Forest
Version 1.0.1

A machine learning based approach for fungal species identification using barcode sequence data. The multi-class random forest model has been used for prediction purpose, where the gap-pair compositional feature was used to encode the barcode sequence data. The encoded dataset was used as input for prediction purpose. Though this approach has been developed for fungal species identification in particular, can be used for other species identification as well.

Getting started

Package details

AuthorP K Meher <[email protected]>
Date of publication2018-02-07 16:19:01 UTC
MaintainerP K Meher <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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funbarRF documentation built on Feb. 9, 2018, 6:08 a.m.