Network Approaches to Integrate Analyses of Genetics and Metabolomics Data with Applications to Fetal Programming Studies

The integration of genetics and metabolomics data demands careful accounting of complex dependencies, particularly when modelling familial omics data, e.g., to study fetal programming of related maternal–offspring phenotypes. Efforts to identify genetically determined metabotypes using classic genom...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Metabolites
المؤلفون الرئيسيون:	Alan Kuang, M. Geoffrey Hayes, Marie-France Hivert, Raji Balasubramanian, William L. Lowe, Denise M. Scholtens
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2022-06-01
الموضوعات:	fetal programming variant-to-metabolite associations Bayesian network modeling serial mediation modeling integrated multi-omics
الوصول للمادة أونلاين:	https://www.mdpi.com/2218-1989/12/6/512

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