Springer Nature
Browse
40168_2019_660_MOESM9_ESM.pdf (51.48 kB)

Additional file 9 of Dynamic interaction network inference from longitudinal microbiome data

Download (51.48 kB)
journal contribution
posted on 2019-04-02, 05:00 authored by Jose Lugo-Martinez, Daniel Ruiz-Perez, Giri Narasimhan, Ziv Bar-Joseph
Figure S6. Comparison of average predictive accuracy and standard deviation between methods on the filtered data sets. Figure shows the average MAE and standard deviation of our proposed DBN models against a baseline method and previously published approaches as a function of sampling rates. Additionally, each method is run on the unaligned and aligned data sets. a Performance results for infant gut microbiome data. b Performance results for vaginal microbiome data. c Performance results for oral cavity microbiome data. (PDF 51 kb)

Funding

James S. McDonnell Foundation

History