Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations
Abstract. The use of random forests is increasingly common in genetic association studies. The variable importance measure (VIM) that is automatically calculat
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2012
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| In: |
Briefings in bioinformatics
Year: 2012, Volume: 13, Issue: 3, Pages: 292-304 |
| ISSN: | 1477-4054 |
| DOI: | 10.1093/bib/bbr053 |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1093/bib/bbr053 Verlag, kostenfrei, Volltext: https://academic.oup.com/bib/article/13/3/292/245896 
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| Author Notes: | Anne-Laure Boulesteix, Andreas Bender, Justo Lorenzo Bermejo, Carolin Strobl |
| Summary: | Abstract. The use of random forests is increasingly common in genetic association studies. The variable importance measure (VIM) that is automatically calculat |
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| Item Description: | Published online: 10 September 2011 Gesehen am 08.05.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1477-4054 |
| DOI: | 10.1093/bib/bbr053 |