High-throughput and computational approaches for diagnostic and prognostic host tuberculosis biomarkers.
High-throughput techniques strive to identify new biomarkers that will be useful for the diagnosis, treatment, and prevention of tuberculosis (TB). However, their analysis and interpretation pose considerable challenges. Recent developments in the high-throughput detection of host biomarkers in TB are reported in this review.
Max Planck Institute for Infection Biology, Department of Immunology, 10117 Berlin, Germany. Electronic address: january@mpiib-berlin.mpg.de.
January
J
Weiner
Max Planck Institute for Infection Biology, Department of Immunology, 10117 Berlin, Germany.
Stefan H E
SH
Kaufmann
D015415:Biomarkers; D019295:Computational Biology; D006801:Humans; D011379:Prognosis; D014376:Tuberculosis / Q000175:diagnosis
D015415:Biomarkers
Biomarker; Gene set enrichment analysis; High-throughput; Tuberculosis