Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency

BACKGROUND. The effect of gene expression data on diagnosis remains limited. Here, we show how diagnosis and classification of growth hormone deficiency (GHD) can be achieved from a single blood sample using a combination of transcriptomics and random forest analysis.