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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-...
में बचाया:
| में प्रकाशित: | JCI Insight |
|---|---|
| मुख्य लेखकों: | , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
American Society for Clinical Investigation
2018
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| विषय: | |
| ऑनलाइन पहुंच: | 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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