Data from: A practical introduction to random forest for genetic association studies in ecology and evolution

Marine S.O. Brieuc, Charles D. Waters, Daniel P. Drinan, Kerry Ann Naish & Marine S. O. Brieuc
Large genomic studies are becoming increasingly common with advances in sequencing technology, and our ability to understand how genomic variation influences phenotypic variation between individuals has never been greater. The exploration of such relationships first requires the identification of associations between molecular markers and phenotypes. Here we explore the use of Random Forest (RF), a powerful machine learning algorithm, in genomic studies to discern loci underlying both discrete and quantitative traits, particularly when studying wild...
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227 downloads reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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