Machine Learning–Based Discovery of a Gene Expression Signature in Pediatric Acute Respiratory Distress Syndrome

OBJECTIVES: To identify differentially expressed genes and networks from the airway cells within 72 hours of intubation of children with and without pediatric acute respiratory distress syndrome. To test the use of a neutrophil transcription reporter assay to identify immunogenic responses to airway...

Full description

Saved in:
Bibliographic Details
Published in:Crit Care Explor
Main Authors: Grunwell, Jocelyn R., Rad, Milad G., Stephenson, Susan T., Mohammad, Ahmad F., Opolka, Cydney, Fitzpatrick, Anne M., Kamaleswaran, Rishikesan
Format: Artigo
Language:Inglês
Published: Lippincott Williams & Wilkins 2021
Subjects:
Observational Study
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8208445/
https://ncbi.nlm.nih.gov/pubmed/34151274
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CCE.0000000000000431
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items