Establishing a many-cytokine signature via multivariate anomaly detection.

ABSTRACT: Establishing a cytokine signature associated to some medical condition is an important task in immunology. Increasingly, large numbers of cytokines are used for signatures, via lists of reference ranges for each individual cytokine or ratios of cytokines. Here we argue that this common approach has weaknesses, especially when many different cytokines are analysed. Instead, we propose that establishing signatures can be framed as a multivariate anomaly detection problem, and hence exploit the many statistical methods available for this. In this framework, whether or not a given subject's profile matches the cytokine signature of some condition is determined by whether or not the profile is typical of reference samples of that condition, as judged by an anomaly detection algorithm. We examin

SUBMITTER: Dingle K 

PROVIDER: S-EPMC6609612 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature