Transcription profiling of mouse and human spleen to determine a molecular signature for sepsis

ABSTRACT: Accuracy of sepsis prediction was obtained using cross-validation of gene expression data from 12 human spleen samples and from 16 mouse spleen samples. For blood studies, classifiers were constructed using data from a training data set of 26 microarrays. The error rate of the classifiers was estimated on seven de-identified microarrays, and then on a subsequent cross-validation for all 33 blood microarrays. Estimates of classification accuracy of sepsis in human spleen were 67.1%; in mouse spleen, 96%; and in mouse blood, 94.4% (all estimates were based on nested cross-validation). Lists of genes with substantial changes in expression between study and control groups were used to identify nine mouse common inflammatory response genes, six of which were mapped into a single pathway using c

ORGANISM(S): Mus musculus

SUBMITTER: J Perren Cobb 

PROVIDER: E-GEOD-5663 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress