In this tutorial, we build an advanced multi-agent pipeline that interprets integrated omics data, including transcriptomics, proteomics, and metabolomics, to uncover key biological insights. We begin by generating coherent synthetic datasets that mimic realistic biological trends and then move step by step through agents designed for statistical analysis, network inference, pathway enrichment, and drug repurposing.
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