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Article

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

JCI insight - 5 Apr 2018

Murray Philip G, Stevens Adam, De Leonibus Chiara, Koledova Ekaterina, Chatelain Pierre, Clayton Peter E

Abstract excerpt

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. METHODS: Prepubertal treatment-naive children with GHD (n = 98) were enrolled from the PREDICT study, and controls (n = 26) were acquired from...

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Identifiers

PMID: 29618660
DOI: 10.1172/jci.insight.93247
PMCID: PMC5928867

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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