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CAUSAL GRAPHICAL MODELS IN SYSTEMS GENETICS: A UNIFIED FRAMEWORK FOR JOINT INFERENCE OF CAUSAL NETWORK AND GENETIC ARCHITECTURE FOR CORRELATED PHENOTYPES

Causal inference approaches in systems genetics exploit quantitative trait loci (QTL) genotypes to infer causal relationships among phenotypes. The genetic architecture of each phenotype may be complex, and poorly estimated genetic architectures may compromise the inference of causal relationships a...

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書誌詳細
主要な著者: Neto, Elias Chaibub, Keller, Mark P., Attie, Alan D., Yandell, Brian S.
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3017382/
https://ncbi.nlm.nih.gov/pubmed/21218138
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