Systematic comparison of published host gene expression signatures for bacterial/viral discrimination.

ABSTRACT:

Background

Measuring host gene expression is a promising diagnostic strategy to discriminate bacterial and viral infections. Multiple signatures of varying size, complexity, and target populations have been described. However, there is little information to indicate how the performance of various published signatures compare to one another.

Methods

This systematic comparison of host gene expression signatures evaluated the performance of 28 signatures, validating them in 4589 subjects from 51 publicly available datasets. Thirteen COVID-specific datasets with 1416 subjects were included in a separate analysis. Individual signature performance was evaluated using the area under the receiving operating characteristic curve (AUC) value. Overall signature performance was evaluate

SUBMITTER: Bodkin N 

PROVIDER: S-EPMC8858657 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature