Transcription profiling of human pediatric septic shock samples to validation of previous experiment

ABSTRACT: Rationale: We previously generated genome-wide expression data in children with septic shock, based on whole blood-derive RNA, having the potential to lead the field into novel areas of investigation. Objective: Herein we seek to validate our data through a bioinformatic approach centered on a validation patient cohort. Methods: Microarray- and bioinformatics-centered analyses involving our previous data as a training data set (n = 42) and a new, validation cohort (n = 30) as the test data set. Measurements and Main Results: Class prediction modeling using the training data set and the previously reported genome-wide expression signature of pediatric septic shock correctly identified 93 to 100% of septic shock patients in the test data set, depending on the class prediction algorithm

ORGANISM(S): Homo sapiens

SUBMITTER: Hector Wong 

PROVIDER: E-GEOD-9692 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress