Ontology highlight
ABSTRACT: Background
Pediatric acute respiratory distress in tropical settings is very common. Bacterial pneumonia is a major contributor to morbidity and mortality rates and requires adequate diagnosis for correct treatment. A rapid test that could identify bacterial (vs other) infections would have great clinical utility.Methods and results
We performed RNA (RNA-seq) sequencing and analyzed the transcriptomes of 68 pediatric patients with well-characterized clinical phenotype to identify transcriptional features associated with each disease class. We refined the features to predictive models (support vector machine, elastic net) and validated those models in an independent test set of 37 patients (80%-85% accuracy).Conclusions
We have identified sets of genes that are diffe
SUBMITTER: Silterra J
PROVIDER: S-EPMC6392473 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature