Autor: |
J. Diao, Elizabeth A. Walter, H. Melgarejo, B. Johnson, Dzung Thach, D. Watson, Eric H. Hanson, J. Fuller, Gary Vora, M. Jesse, Zheng Wang, K. Russell, N. Freed, Jose Santiago, J. Gomez, P. Demitry, T. Difato, D. Metzgar, S. Worthy, R. Bravo, Jennifer Thornton, R. Kruzelock, K. Mueller, Clark Tibbetts, C. Meador, Baochuan Lin, C. James, Michael J. Jenkins, Brian K. Agan, Anjan Purkayastha, E. Lawrence, Robb K. Rowley, Donald Seto, K. Grant, David A. Stenger, R. Holliday, M. Archer, F. Stotler, Chris C. Olsen, K. Gratwick, D. Pearson, L. Daum, D. Niemeyer |
Rok vydání: |
2005 |
Předmět: |
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Zdroj: |
Genes & Immunity. 6:588-595 |
ISSN: |
1476-5470 1466-4879 |
DOI: |
10.1038/sj.gene.6364244 |
Popis: |
Gene expression profiles permit analysis of host immune response at the transcriptome level. We used the Pax gene Blood RNA (PAX) System and Affymetrix microarrays (HG-U133A&B) to survey profiles in basic military trainees and to classify them as healthy, febrile respiratory illness (FRI) without adenovirus, FRI with adenovirus, and convalescent from FRI with adenovirus. We assessed quality metrics of RNA processing for microarrays. Class prediction analysis discovered nested sets of transcripts that could categorize the phenotypes with optimized accuracy of 99% (nonfebrile vs febrile, P |
Databáze: |
OpenAIRE |
Externí odkaz: |
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