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Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes
BACKGROUND: Being able to visualize multivariate biological treatment effects can be insightful. However the axes in visualizations are often solely defined by variation and thus have no biological meaning. This makes the effects of treatment difficult to interpret. METHODS: A statistical visualizat...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3271030/ https://ncbi.nlm.nih.gov/pubmed/22221319 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1755-8794-5-1 |
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