PMC full text:
Published online 2016 Sep 23. doi: 10.1186/s12918-016-0336-6
Fig. 1
![An external file that holds a picture, illustration, etc.
Object name is 12918_2016_336_Fig1_HTML.jpg An external file that holds a picture, illustration, etc.
Object name is 12918_2016_336_Fig1_HTML.jpg](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5035469/bin/12918_2016_336_Fig1_HTML.jpg)
Topological rankings work better to predict mouse phenotype than differential expression or expert selection. The ability of each method to correctly classify genes as having a significant effect on pathogenesis as determined by weight loss different than wild-type mice infected with SARS-CoV (see Table 1) was assessed using a receiver-operator characteristic curve (ROC). The area under the curve (AUC) is shown in the legend. The differential expression (DE) category indicates the range of AUC values obtained when genes were ranked by DE from all viral dose and day post-infection combinations