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Bayesian integrative model for multi-omics data with missingness

MOTIVATION: Integrative analysis of multi-omics data from different high-throughput experimental platforms provides valuable insight into regulatory mechanisms associated with complex diseases, and gains statistical power to detect markers that are otherwise overlooked by single-platform omics analy...

詳細記述

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書誌詳細
出版年:Bioinformatics
主要な著者: Fang, Zhou, Ma, Tianzhou, Tang, Gong, Zhu, Li, Yan, Qi, Wang, Ting, Celedón, Juan C, Chen, Wei, Tseng, George C
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223369/
https://ncbi.nlm.nih.gov/pubmed/30184058
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty775
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