Supplementary Materials

Supplementary Material for:

Host gene expression classifiers diagnose acute respiratory illness etiology

Ephraim L. Tsalik, Ricardo Henao, Marshall Nichols, Thomas Burke, Emily R. Ko, Micah T. McClain, Lori L. Hudson, Anna Mazur, Debra H. Freeman, Tim Veldman, Raymond J. Langley, Eugenia B. Quackenbush, Seth W. Glickman, Charles B. Cairns, Anja K. Jaehne, Emanuel P. Rivers, Ronny M. Otero, Aimee K. Zaas, Stephen F. Kingsmore, Joseph Lucas, Vance G. Fowler Jr., Lawrence Carin, Geoffrey S. Ginsburg,* Christopher W. Woods*

*Corresponding author. E-mail: geoffrey.ginsburg{at}duke.edu (G.S.G.); chris.woods{at}duke.edu (C.W.W.)

Published 20 January 2016, Sci. Transl. Med. 8, 322ra11 (2016)
DOI: 10.1126/scitranslmed.aad6873

This PDF file includes:

  • Fig. S1. Positive and negative predictive values for (A) bacterial and (B) viral ARI classification as a function of prevalence.
  • Fig. S2. Validation of bacterial and viral ARI classifiers in GSE6269.
  • Fig. S3. Validation of bacterial and viral ARI classifiers in GSE42026.
  • Fig. S4. Validation of bacterial and viral ARI classifiers in GSE40396.
  • Fig. S5. Validation of bacterial and viral ARI classifiers in GSE20346.
  • Fig. S6. Validation of bacterial ARI and noninfectious illness classifiers in GSE42834.
  • Fig. S7. Treatment effect on bacterial ARI classification.
  • Fig. S8. Venn diagram representing overlap in the bacterial ARI, viral ARI, and noninfectious illness classifiers.
  • Table S1. Etiological causes of illness for subjects with viral ARI, bacterial ARI, and noninfectious illness.
  • Table S2. Summary of clinical features for the derivation cohort.
  • Table S3. Probes selected for the bacterial ARI, viral ARI, and noninfectious illness classifiers.
  • Table S4. Subjects with discordant predictions compared to clinical assignments.
  • Table S5. Genes in the bacterial ARI, viral ARI, and noninfectious illness classifiers grouped by biologic process.

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