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. METHODS. Prepubertal treatment-...

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Vydáno v:JCI Insight
Hlavní autoři: Murray, Philip G., Stevens, Adam, De Leonibus, Chiara, Koledova, Ekaterina, Chatelain, Pierre, Clayton, Peter E.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Society for Clinical Investigation 2018
Témata:
Clinical Medicine
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5928867/
https://ncbi.nlm.nih.gov/pubmed/29618660
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1172/jci.insight.93247
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