Sentence examples for blood gene expression data from inspiring English sources

Participating teams used a training set of human and mouse blood gene expression data to derive parsimonious models (up to 40 genes) that classify subjects into exposure groups: smokers, former smokers, and never-smokers.

We analyzed two previously published blood gene expression data sets.

Additional file 5 shows dendrograms of the blood gene expression data.

aDura: dura gene expression data, Blood: blood gene expression data, Cranial: PF trait data.

Our study is the first that profiles blood gene expression data in DSD individuals.

For the classes determined based solely on dura gene expression or blood gene expression data, a separate approach was necessary.

Principal components analysis of whole-blood gene expression data from obese and lean subjects led to efficient separation of the two cohorts.

Meta-analysis of the whole-blood gene expression data resulted in the identification of 3762 annotated genes whose transcript levels were significantly associated with BMI after adjusting for multiple testing [Benjamini and Hochberg false discovery rate (FDR) < 0.01] (Additional file 2: Table S1).

The present expression of quantitative trait loci analysis was based on a subset of 976 subjects aged 20 81 years from the Study of Health in Pomerania TREND study population for which genome-wide SNP typing data as well as genome-wide whole-blood gene expression data were available.

Deconvolution of the whole-blood gene-expression data revealed a strong representation of T-helper cell-expressed genes upregulated in the whole-blood gene signature for severe H1N1 influenza.

The authors [ 8] then applied csSAM to human whole blood gene expression array data from kidney transplant recipients.