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Learning Causal Biological Networks With the Principle of Mendelian Randomization

Although large amounts of genomic data are available, it remains a challenge to reliably infer causal (i. e., regulatory) relationships among molecular phenotypes (such as gene expression), especially when multiple phenotypes are involved. We extend the interpretation of the Principle of Mendelian r...

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書誌詳細
出版年:Front Genet
主要な著者: Badsha, Md. Bahadur, Fu, Audrey Qiuyan
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6536645/
https://ncbi.nlm.nih.gov/pubmed/31164902
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.00460
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