Coordinate and integrate multiple omics datasets for comprehensive systems biology analysis. This skill orchestrates specialized ToolUniverse skills to perform cross-omics correlation, multi-omics clustering, pathway-level integration, and unified interpretation across molecular layers.
| Data Integration | Match samples across omics, handle missing data, normalize scales | | Cross-Omics Correlation | Correlate features across molecular layers (gene expression vs protein, methylation vs expression) | | Multi-Omics Clustering | MOFA+, NMF, joint clustering to identify omics-driven subtypes |
| Pathway Integration | Combine omics evidence at pathway level for unified biological interpretation | | Biomarker Discovery | Identify multi-omics signatures with improved predictive power | | Skill Coordination | Orchestrate RNA-seq, epigenomics, variant-analysis, protein-interactions, gene-enrichment skills |
整合和分析系統生物學和精準醫學的多個組學資料集(轉錄組學、蛋白質組學、表觀基因組學、基因組學、代謝組學)。執行跨組學關聯、多組學聚類(MOFA+、NMF)、路徑級整合和樣本匹配。協調 ToolUniverse 表達數據 (RNA-seq)、表觀基因組學(甲基化、ChIP-seq)、變異(SNV、CNV)、蛋白質相互作用和路徑富集的技能。在分析多組學資料集、執行綜合分析、發現多組學生物標記、研究跨分子層的疾病機製或進行需要協調分析轉錄組、基因組、表觀基因組、蛋白質組和代謝組資料的系統生物學研究時使用。 來源:mims-harvard/tooluniverse。