Evansetal2016.zip (14.26 MB)

Data and Code to reproduce Evans et al 2016 "Data-driven identification of potential Zika virus vectors"

dataset

posted on 2017-02-24, 16:59 authored by Michelle EvansMichelle Evans, Tad DallasTad Dallas

This repository contains data files and R code (in an Rmd document) to reproduce analysis and figures from a manuscript entitled "Data-driven identification of potential Zika virus vectors" by Evans et al.

Once 'unzipped', Rmd files will render appropriately if directory structure is respected.

Be aware that these models use over 6 GB of memory each, and are set to run on 12 cores.

History

References

http://biorxiv.org/content/early/2016/09/27/077966

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Keywords

zika virus mosquito-borne disease machine-learning based prediction Bioinformatics Infectious Diseases

Licence

CC BY 4.0