The script, bayesianmice_visualization.R
, provides the complete underlying data and code for all the figures in the Results section on the main project website and in the manuscript:
Shankar, J. et al. Using Bayesian modelling to investigate factors governing antibiotic-induced Candida albicans colonization of the GI tract. Scientific Reports. 5, 8131; DOI:10.1038/srep08131 (2015). Available at: http://dx.doi.org/10.1038/srep08131
The main website, data and additional documentation is @ the main project website
For model specifications, underlying theory as well as a comparative evaluation of BMA ensemble regression against other ensemble regression models, please review:
Shankar J, Szpakowski S et al. A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses. BMC Bioinformatics. 2015 Feb;16(1):31+. DOI:10.1186/s12859-015-0467-6. Available at: http://dx.doi.org/10.1186/s12859-015-0467-6.
Code and documentation for the BMA models can be found in the regeval repository
@ https://github.com/openpencil/regeval
Citing bayesianmice
Shankar, J. et al. Using Bayesian modelling to investigate factors governing antibiotic-induced Candida albicans colonization of the GI tract. Scientific Reports. 5, 8131; DOI:10.1038/srep08131 (2015). Available at: http://dx.doi.org/10.1038/srep08131
BibTeX
@ARTICLE{Shankar2015bayesianmice,
title = "Using Bayesian modelling to investigate factors governing
antibiotic-induced Candida albicans colonization of the {GI}
tract",
author = "Shankar, Jyoti and Solis, Norma V and Mounaud, Stephanie and
Szpakowski, Sebastian and Liu, Hong and Losada, Liliana and
Nierman, William C and Filler, Scott G",
journal = "Scientific reports",
publisher = "Nature Publishing Group",
volume = 5,
pages = "8131",
month = "3~" # feb,
year = 2015,
url = "http://dx.doi.org/10.1038/srep08131",
issn = "2045-2322, 2045-2322",
pmid = "25644850",
doi = "10.1038/srep08131",
note = "bayesianmice repository: https://github.com/openpencil/regeval"
}