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A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics
Recent advances in imaging genetics make it possible to combine different types of data including medical images like functional magnetic resonance imaging (fMRI) and genetic data like single nucleotide polymorphisms (SNPs) for comprehensive diagnosis of mental disorders. Understanding complex inter...
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| 出版年: | IEEE/ACM Trans Comput Biol Bioinform |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7756188/ https://ncbi.nlm.nih.gov/pubmed/31689199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2019.2950904 |
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