This site is under development. For the current active site, go to bcbhub.csic.es.

Orcid Publication

Detalle de: Nimbus: a Ruby gem to implement Random Forest algorithms in a genomic selection context

Title Nimbus: a Ruby gem to implement Random Forest algorithms in a genomic selection context
Abstract

Nimbus is a Ruby gem implementing Random Forest in a genomic selection context, meaning every input file is expected to contain genotype and/or phenotype data from a sample of individuals. Other than the ids of the individuals, Nimbus handle the data as genotype values for single-nucleotide polymorphisms (SNPs), so the variables in the classifier must have values of 0, 1 or 2, corresponding with SNPs classes of AA, AB and BB.

Apa Reference Bazán, J. & Gonzalez-Recio, O. (2017). Nimbus: a Ruby gem to implement Random Forest algorithms in a genomic selection context. The Journal of Open Source Software, 2(16), 351. 10.21105/joss.00351
Doi 10.21105/joss.00351
Publication Date 18 Aug 2017
Publication Type Article
Researcher Oscar Gonzalez-Recio
Ontology Machine Learning in Biology, Genomics, Population genomics, Quantitative genetics
Research Groups
Tools

Suggest changes

Publications are synced automatically from ORCID, so they can't be edited here directly. Spotted something wrong? Let us know below and we'll take care of it.

← Return to Home