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Behavior Genetics (2023) 53:101117 https://doi.org/10.1007/s10519022101267ORIGINAL RESEARCHIntegrative Multiomics Analysis ofChildhood Aggressive Behavior FionaA.Hagenbeek1,2 JennyvanDongen1,2,3
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Integrative multi-omics analysis is the comprehensive study of multiple omics data types to gain a more holistic understanding of complex biological systems.
Researchers, scientists, and organizations conducting multi-omics studies are required to file integrative multi-omics analysis.
Integrative multi-omics analysis is typically filled out by compiling and analyzing data from genomics, transcriptomics, proteomics, metabolomics, and other omics data sources.
The purpose of integrative multi-omics analysis is to identify interactions and relationships between different omics layers to uncover underlying biological mechanisms and pathways.
Integrative multi-omics analysis must report details on the study design, data sources, data preprocessing methods, statistical analysis, and biological interpretations.
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